Relevant bibliographies by topics / Composition Data Analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Composition Data Analysis'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Composition Data Analysis"

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Greenacre, Michael. "Compositional Data Analysis." Annual Review of Statistics and Its Application 8, no. 1 (March 7, 2021): 271–99. http://dx.doi.org/10.1146/annurev-statistics-042720-124436.

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Compositional data are nonnegative data carrying relative, rather than absolute, information—these are often data with a constant-sum constraint on the sample values, for example, proportions or percentages summing to 1% or 100%, respectively. Ratios between components of a composition are important since they are unaffected by the particular set of components chosen. Logarithms of ratios (logratios) are the fundamental transformation in the ratio approach to compositional data analysis—all data thus need to be strictly positive, so that zero values present a major problem. Components that group together based on domain knowledge can be amalgamated (i.e., summed) to create new components, and this can alleviate the problem of data zeros. Once compositional data are transformed to logratios, regular univariate and multivariate statistical analysis can be performed, such as dimension reduction and clustering, as well as modeling. Alternative methodologies that come close to the ideals of the logratio approach are also considered, especially those that avoid the problem of data zeros, which is particularly acute in large bioinformatic data sets.
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Hopke, P. K., Y. Xie, P. Paatero, L. A. Barrie, and S. M. Li. "Multiway analysis of airborne particle composition data." Journal of Aerosol Science 29 (September 1998): S515—S516. http://dx.doi.org/10.1016/s0021-8502(98)00182-7.

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Rand, William M. "Experimental design for food composition data analysis." Journal of Food Composition and Analysis 5, no. 4 (December 1992): 267–68. http://dx.doi.org/10.1016/0889-1575(92)90060-w.

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Takahashi, Akira, Miwa Misawa, and Saizo Yanaura. "Pharmacological generalization of DATA-assessment based on data-composition analysis." Japanese Journal of Pharmacology 55 (1991): 290. http://dx.doi.org/10.1016/s0021-5198(19)39257-1.

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Muldowney, D., J. Connolly, and M. G. Keane. "Compositional data analysis in the study of carcass composition of beef cattle." Livestock Production Science 67, no. 3 (January 2001): 241–51. http://dx.doi.org/10.1016/s0301-6226(00)00200-1.

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LEDERMANN, THOMAS, MYRIAM RUDAZ, and ALEXANDER GROB. "Analysis of group composition in multimember multigroup data." Personal Relationships 24, no. 2 (February 14, 2017): 242–64. http://dx.doi.org/10.1111/pere.12176.

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Shishkova, Aна, P. Petrova, Anton Tonev, G. Iliev, P. Bahlova, O. Softov, and E. Kalchev. "Analysis of body composition using bioimpedance (BIA) data." Scripta Scientifica Medica 40, no. 2 (December 20, 2008): 187. http://dx.doi.org/10.14748/ssm.v40i2.541.

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Hopke, Philip K., Yulong Xie, and Pentti Paatero. "Mixed multiway analysis of airborne particle composition data." Journal of Chemometrics 13, no. 3-4 (May 1999): 343–52. http://dx.doi.org/10.1002/(sici)1099-128x(199905/08)13:3/4<343::aid-cem550>3.0.co;2-p.

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Soundarya, P., M. Vanitha, and I. Sumaiya Thaseen. "Dynamic user data analysis and web composition technique using big data." IOP Conference Series: Materials Science and Engineering 263 (November 2017): 042064. http://dx.doi.org/10.1088/1757-899x/263/4/042064.

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Liu, Ying, Belle R. Upadhyaya, and Masoud Naghedolfeizi. "Chemometric Data Analysis Using Artificial Neural Networks." Applied Spectroscopy 47, no. 1 (January 1993): 12–23. http://dx.doi.org/10.1366/0003702934048406.

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The on-line measurement of chemical composition under different operating conditions is an important problem in many industries. An approach based on hybrid signal preprocessing and artificial neural network paradigms for estimating composition from chemometric data has been developed. The performance of this methodology was tested with the use of near-infrared (NIR) and Raman spectra from both laboratory and industrial samples. The sensitivity-of-composition estimation as a function of spectral errors, spectral preprocessing, and choice of parameter vector was studied. The optimal architecture of multilayer neural networks and the guidelines for achieving them were also studied. The results of applications to FT-Raman data and NIR data demonstrate that this methodology is highly effective in establishing a generalized mapping between spectral information and sample composition, and that the parameters can be estimated with high accuracy.
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Dissertations / Theses on the topic "Composition Data Analysis"

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Morais, Joanna. "Impact of media investments on brands’ market shares : a compositional data analysis approach." Thesis, Toulouse 1, 2017. http://www.theses.fr/2017TOU10040/document.

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L’objectif de cette thèse CIFRE, réalisée avec la société d’études de marché BVA en collaboration avec le constructeur automobile Renault, est de mesurer l’impact des investissements media pour différents canaux (télévision, affichage, etc.) sur les parts de marché de différentes marques, en prenant en compte la concurrence et les potentiels effets croisés et synergies entre ces marques, ainsi qu’en tenant compte du prix des véhicules, du contexte réglementaire (i.e. prime à la casse), et des effets retard de la publicité.Nous avons puisé dans les littératures marketing et statistique pour développer, comparer et interpréter plusieurs modèles qui respectent la contrainte de somme unitaire des parts de marché. Une application concrète au marché automobile français est présentée, pour laquelle nous montrons que les parts de marché des marques sont plus ou moins sensibles aux investissements publicitaires consentis dans chaque canal, et qu’il existe de synergies entre certaines marques
The aim of this CIFRE thesis, realized with the market research institute BVA in collaboration with the automobile manufacturer Renault, is to build a model in order to measure the impact of media investments of several channels (television, outdoor, etc.) on the brands’ market shares, taking into account the competition and the potential cross effects and synergies between brands, as well as accounting for the price, the regulatory context (scrapping incentive), and the lagged effects of advertising. We have drawn from marketing and statistical literatures to develop, compare and interpret several models which respect the unit sum constraint of market shares. A practical application to the French automobile market is presented, for which it is shown that brands’ market shares are more or less sensitive to advertising investments made in each channel, and that synergies between brands exist
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Boenn, Georg. "Automated analysis and transcription of rhythm data and their use for composition." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538138.

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Filonik, Daniel. "Participatory data analytics: Designing visualisation and composition interfaces for collaborative sensemaking on large interactive screens." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/110597/1/Daniel_Filonik_Thesis.pdf.

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This thesis proposes the development of interfaces to support collaborative, community-led inquiry into data, which is referred to as Participatory Data Analytics. Over the course of multiple iterations spanning across three use cases, we developed a novel visualisation interface named DataChopin. Its distinctive characteristics are the use of large-scale, vertical displays as a shared desktop, along with natural, touch-based interactions for incremental construction of visualisations. The evaluation of this prototype has yielded recommendations for participatory research practitioners and designers of data exploration interfaces. In doing so, this research takes steps towards greater accessibility and democratisation of data analytics capabilities.
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MAARADJI, Abderrahmane. "End-user service composition from a social networks analysis perspective." Phd thesis, Institut National des Télécommunications, 2011. http://tel.archives-ouvertes.fr/tel-00762647.

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Service composition has risen from the need to make information systems more flexible and open. The Service Oriented Architecture has become the reference architecture model for applications carried by the impetus of Internet (Web). In fact, information systems are able to expose interfaces through the Web which has increased the number of available Web services. On the other hand, with the emergence of the Web 2.0, service composition has evolved toward web users with limited technical skills. Those end-users, named Y generation, are participating, creating, sharing and commenting content through the Web. This evolution in service composition is translated by the reference paradigm of Mashup and Mashup editors such as Yahoo Pipes! This paradigm has established the service composition within end users community enabling them to meet their own needs, for instance by creating applications that do not exist. Additionally, Web 2.0 has brought also its social dimension, allowing users to interact, either directly through the online social networks or indirectly by sharing, modifying content, or adding metadata. In this context, this thesis aims to support the evolving concept of service composition through meaningful contributions. The main contribution of this thesis is indeed the introduction of the social dimension within the process of building a composite service through end users' dedicated environments. In fact, this concept of social dimension considers the activity of compositing services (creating a Mashup) as a social activity. This activity reveals social links between users based on their similarity in selecting and combining services. These links could be an interesting dissemination means of expertise, accumulated by users when compositing services. In other terms, based on frequent composition patterns, and similarity between users, when a user is editing a Mashup, dynamic recommendations are proposed. These recommendations aim to complete the initial part of Mashup already introduced by the user. This concept has been explored through (i) a step-by-step Mashup completion by recommending a single service at each step, and (ii) a full Mashup completion approaches by recommending the whole sequence of services that could complete the Mashup. Beyond pushing a vision for integrating the social dimension in the service composition process, this thesis has addressed a particular constraint for this recommendation system which conditions the interactive systems requirements in terms of response time. In this regard, we have developed robust algorithms adapted to the specificities of our problem. Whereas a composite service is considered as a sequence of basic service, finding similarities between users comes first to find frequent patterns (subsequences) and then represent them in an advantageous data structure for the recommendation algorithm. The proposed algorithm FESMA, provide exactly those requirements based on the FSTREE structure with interesting results compared to the prior art. Finally, to implement the proposed algorithms and methods, we have developed a Mashup creation framework, called Social Composer (SoCo). This framework, dedicated to end users, firstly implements abstraction and usability requirements through a workflow-based graphic environment. As well, it implements all the mechanisms needed to deploy composed service starting from an abstract description entered by the user. More importantly, SoCo has been augmented by including the dynamic recommendation functionality, demonstrating by the way the feasibility of this concept.
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Bryant, Donald. "ANALYSIS OF KOLMOGOROV'S SUPERPOSITION THEOREM AND ITS IMPLEMENTATION IN APPLICATIONS WITH LOW AND HIGH DIMENSIONAL DATA." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2578.

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In this dissertation, we analyze Kolmogorov's superposition theorem for high dimensions. Our main goal is to explore and demonstrate the feasibility of an accurate implementation of Kolmogorov's theorem. First, based on Lorentz's ideas, we provide a thorough discussion on the proof and its numerical implementation of the theorem in dimension two. We present computational experiments which prove the feasibility of the theorem in applications of low dimensions (namely, dimensions two and three). Next, we present high dimensional extensions with complete and detailed proofs and provide the implementation that aims at applications with high dimensionality. The amalgamation of these ideas is evidenced by applications in image (two dimensional) and video (three dimensional) representations, the content based image retrieval, video retrieval, de-noising and in-painting, and Bayesian prior estimation of high dimensional data from the fields of computer vision and image processing.
Ph.D.
Department of Mathematics
Sciences
Mathematics PhD
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Allain, James D. "Comparison of nutrient data obtained through laboratory analysis with results generated by diet analysis software programs to determine a valid method for evaluating the nutrient content of select menu items at Pizza King, Inc." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1327788.

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The purpose of this research study was to test the validity of three diet analysis programs — Food Processor, Diet Analysis Plus 7.0 Online, and NutritionData.com — by comparing results of each program to the nutrient data from an independent food science lab for menu items served at Pizza King, Inc. restaurants.NutritionData.com had a slightly higher positive correlation, as well as more nutrient values within 10% of the chemical analyses, than ESHAs Food Processor. However, due to several ancillary factors (e.g., limited data base, inability to save laboratory-obtained data into a permanent database, and the minimal cost for the program for a company the size of Pizza King), this researcher has recommended ESHA Food Processor to Pizza King for the current and future analyses of their menu items. Diet Analysis Plus 7.0 Online could not be tested because the program did not generate analyzable results.
Department of Family and Consumer Sciences
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Maaradji, Abderrahmane. "End-user service composition from a social networks analysis perspective." Thesis, Evry, Institut national des télécommunications, 2011. http://www.theses.fr/2011TELE0028/document.

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Le paradigme de service dans les nouvelles technologies de l’information et de communication est omniprésent, si bien qu’on parle de science des services. Les services Web sont définis dans le cadre des architectures orientées services (SOA) qui permet de distinguer le fournisseur de service, le répertoire de services, et enfin le consommateur du service. Cette distinction permet de créer de nouveaux services en composant des services déjà existants. Cependant, la composition de services est principalement bénéfique aux utilisateurs expérimentés comme les développeurs de logiciels car elle requiert un niveau technique élevé. Par opposition, la tendance actuelle traduite par l’émergence du Web2.0, vise à permettre aux utilisateurs du Web de créer leurs propres services à travers les environnements de Mashup, ou de collaborer et de capitaliser des connaissances à travers les réseaux et les médias sociaux. Nous croyons qu’il existe un grand potentiel pour “démocratiser” la composition de services dans de tels contextes. L’émergence du Web 2.0, basé sur des paradigmes tels que le contenu généré par l’utilisateur (UGC, Mashups) et le web social, constitue, une opportunité intéressante pour améliorer la productivité de services par l’utilisateur final et accélérer son processus créatif en capitalisant les connaissances générées par tous les utilisateurs. Dans ce contexte, cette thèse vise à soutenir l'évolution du concept de composition de services par le biais de contributions significatives. La principale contribution de cette thèse est en effet l'introduction de la dimension sociale dans le processus de construction d'un service composite à travers les environnements dédiés aux utilisateurs finaux. Ce concept considère l'activité de composition de services (création d'un Mashup) comme une activité sociale. Cette activité révèle les liens sociaux entre les utilisateurs en fonction de leur similitude dans le choix et la combinaison des services. Ces liens permettent de diffuser d'expertise de composition de services. En d'autres termes, sur la base des schémas fréquents de composition, et la similitude entre les utilisateurs, lorsqu’un utilisateur est en train d’éditer un Mashup, des recommandations dynamiques lui sont proposées. Ces recommandations visent à compléter la première partie de Mashup déjà mis en place par l'utilisateur. Ce concept a été exploré à travers (i) la complétion de Mashup étape par étape en recommandant à chaque étape un service unique, et (ii) la complétion totale de Mashup en recommandant la séquence complète de services qui pourraient le compléter. Au-delà de l’introduction de la dimension sociale dans le processus de composition de services, cette thèse a adressé une contrainte particulière du système de recommandation liée aux exigences des systèmes interactifs en termes de temps de réponse. À cet égard, nous avons développé des algorithmes robustes et adaptées aux spécificités de notre problème. Alors qu’un service composite est considéré comme une séquence de service, la recherche de similarités entre les utilisateurs revient d'abord à trouver des modèles fréquents, puis de les représenter dans une structure de données avantageuse pour l'algorithme de recommandation. L’algorithme proposé FESMA répond à ces exigences en se basant sur la structure FSTREE et offrant des résultats intéressants par rapport à l'art antérieur. Enfin, pour mettre en œuvre les algorithmes et les méthodes proposées, nous avons développé un environnement de création de Mashup, appelé ‘Social Composer’ (SoCo). Cet environnement, dédié aux utilisateurs finaux, respecte les critères d'utilisation en se basant sur le workflow graphique. En outre, il met en œuvre tous les mécanismes nécessaires pour déployer le service composé à partir d'une description abstraite introduite par l'utilisateur. De plus, SoCo a été augmentée en y incluant la fonctionnalité de recommandation dynamique, démontrant la faisabilité de ce concept
Service composition has risen from the need to make information systems more flexible and open. The Service Oriented Architecture has become the reference architecture model for applications carried by the impetus of Internet (Web). In fact, information systems are able to expose interfaces through the Web which has increased the number of available Web services. On the other hand, with the emergence of the Web 2.0, service composition has evolved toward web users with limited technical skills. Those end-users, named Y generation, are participating, creating, sharing and commenting content through the Web. This evolution in service composition is translated by the reference paradigm of Mashup and Mashup editors such as Yahoo Pipes! This paradigm has established the service composition within end users community enabling them to meet their own needs, for instance by creating applications that do not exist. Additionally, Web 2.0 has brought also its social dimension, allowing users to interact, either directly through the online social networks or indirectly by sharing, modifying content, or adding metadata. In this context, this thesis aims to support the evolving concept of service composition through meaningful contributions. The main contribution of this thesis is indeed the introduction of the social dimension within the process of building a composite service through end users’ dedicated environments. In fact, this concept of social dimension considers the activity of compositing services (creating a Mashup) as a social activity. This activity reveals social links between users based on their similarity in selecting and combining services. These links could be an interesting dissemination means of expertise, accumulated by users when compositing services. In other terms, based on frequent composition patterns, and similarity between users, when a user is editing a Mashup, dynamic recommendations are proposed. These recommendations aim to complete the initial part of Mashup already introduced by the user. This concept has been explored through (i) a step-by-step Mashup completion by recommending a single service at each step, and (ii) a full Mashup completion approaches by recommending the whole sequence of services that could complete the Mashup. Beyond pushing a vision for integrating the social dimension in the service composition process, this thesis has addressed a particular constraint for this recommendation system which conditions the interactive systems requirements in terms of response time. In this regard, we have developed robust algorithms adapted to the specificities of our problem. Whereas a composite service is considered as a sequence of basic service, finding similarities between users comes first to find frequent patterns (subsequences) and then represent them in an advantageous data structure for the recommendation algorithm. The proposed algorithm FESMA, provide exactly those requirements based on the FSTREE structure with interesting results compared to the prior art. Finally, to implement the proposed algorithms and methods, we have developed a Mashup creation framework, called Social Composer (SoCo). This framework, dedicated to end users, firstly implements abstraction and usability requirements through a workflow-based graphic environment. As well, it implements all the mechanisms needed to deploy composed service starting from an abstract description entered by the user. More importantly, SoCo has been augmented by including the dynamic recommendation functionality, demonstrating by the way the feasibility of this concept
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8

Kagundu, Paul. "The Quality of Governance, Composition of Public Expenditures, and Economic Growth: An Empirical Analysis." unrestricted, 2006. http://etd.gsu.edu/theses/available/etd-07192006-184035/.

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Thesis (Ph. D.)--Georgia State University, 2006.
Title from title screen. Jorge L. Martinez-Vazquez, committee chair; James R. Alm, Roy W. Bahl, Mary Beth Walker, Neven T. Valev, Martin F. Grace, committee members. Electronic text (150 p.) : digital, PDF file. Description based on contents viewedAug. 17, 2007. Includes bibliographical references (p. 139-148).
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Ba, Mouhamadou. "Composition guidée de services : application aux workflows d’analyse de données en bio-informatique." Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0024/document.

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Dans les domaines scientifiques, particulièrement en bioinformatique, des services élémentaires sont composés sous forme de workflows pour effectuer des expériences d’analyse de données complexes. À cause de l’hétérogénéité des ressources, la composition de services est une tâche difficile. Les utilisateurs, en composant des workflows, manquent d’assistance pour retrouver et interconnecter les services compatibles. Les solutions existantes utilisent des services spéciaux définis de manière manuelle pour gérer les conversions de formats de données entre les entrées et sorties des services dans les workflows. Cela est pénible pour un utilisateur final. Gérer les incompatibilités des services avec des convertisseurs manuels prend du temps et est lourd. Il existe des solutions automatisées pour faciliter la composition de workflows mais elles sont généralement limitées dans le guidage et l’adaptation des données entre services. La première contribution de cette thèse propose de détecter systématiquement la convertibilité des sorties vers les entrées des services. La détection de convertibilité repose sur un système de règles basé sur une abstraction des types d’entrée et sortie des services. L’abstraction de types permet de considérer la nature et la composition des données d’entrée et sortie. Les règles permettent la décomposition et la composition ainsi que la spécialisation et la généralisation de types. Elles permettent également de générer des convertisseurs de données à utiliser entre services dans les workflows. La deuxième contribution propose une approche interactive qui permet de guider des utilisateurs à composer des workflows en fournissant des suggestions de services et de liaisons compatibles basées sur la convertibilité de types d’entrée et sortie des services. L’approche est basée sur le modèle des Systèmes d’Information Logiques (LIS) qui permettent des requêtes et une navigation guidées et sûres sur des données représentées avec une logique uniforme. Avec notre approche, la composition de workflows est sûre et complète vis-à-vis de propriétés désirées. Les résultats et les expériences, effectués sur des services et des types de données en bioinformatique, montrent la pertinence de nos approches. Nos approches offrent des mécanismes adaptés pour gérer les incompatibilités de services dans les workflows, en prenant en compte la structure composite des données d’entrée et sortie. Elles permettent également de guider, étape par étape, des utilisateurs à définir des workflows bien formés à travers des suggestions pertinentes
In scientific domains, particularly in bioinformatics, elementary services are composed as workflows to perform complex data analysis experiments. Due to the heterogeneity of resources, the composition of services is a difficult task. Users, when composing workflows, lack assistance to find and interconnect compatible services. Existing solutions use special services manually defined to manage data format conversions between the inputs and outputs of services in workflows, it is difficult for an end user. Managing service incompatibilities with manual converters is time-consuming and heavy. There are automated solutions to facilitate composing workflows but they are generally limited in the guidance and the data adaptation between services they offer. The first contribution of this thesis proposes to systematically detect convertibility from outputs to inputs of services. Convertibility detection relies on a rule system based on an abstraction of input and output types of services. Type abstraction enables to consider the nature and the composition of input and output data. Rules enable decomposition and composition as well as specialization and generalization of types. They also enable to generate data converters to use between services in workflows. The second contribution proposes an interactive approach that enables to guide users to compose workflows by providing suggestions of compatible services and links based on convertibility of input and output types of services. The approach is based on the framework of Logical Information Systems (LIS) that enables safe and guided requests and navigation on data represented with a uniform logic. With our approach, composition of workflows is safe and complete w.r.t. desired properties. The results and experiences, conducted on bioinformatics services and datatypes, show the relevance of our approaches. Our approaches offer adapted mechanisms to manage service incompatibilities in workflows, by taking into account the composite structure of inputs and outputs data. They enable to guide, step by step, users to define well-formed workflows through relevant suggestions
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Zambrana, Prado Natalia. "Spectroscopic diagnostics of the elemental composition of the solar corona." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASP063.

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Un des objectifs principaux de la mission Solar Orbiter est d'établir un lien entre l'activité à la surface du Soleil et l'évolution de la couronne et de l'héliosphère interne. Le satellite emporte à cette fin une combinaison unique d'instruments permettant de faire tant des mesures in situ du plasma héliosphérique que des observations à distance du Soleil. Ces mesures nous permettront par exemple de déterminer la région source du vent solaire mesuré in-situ au niveau du satellite. Un outil essentiel pour établir un tel lien sont les mesures de composition. En effet, différentes structures solaires sont caractérisées par des abondances d'éléments chimiques différentes, en raison de l'effet FIP (premier potentient d'ionisation). Comparer les mesures de composition in situ et à distance, en lien avec la modélisation de l'effet FIP, nous permettra de déterminer les sources du plasma héliosphérique. Lors de la thèse, j'ai développé une nouvelle méthode de mesure d'abondances relatives de la couronne solaire grâce à la spectroscopie UV, la Linear Combination Ratio (LCR) method. Cette méthode peut être peu coûteuse en télémétrie tout en restant fiable; elle se base sur des combinaisons linéaires optimisées de raies spectrales. Cette méthode a été testée sur des spectres synthétiques et sur des données d'observations spectroscopiques. Grâce à une approche bayésienne, j'ai ensuite développé une manière de déterminer les incertitudes liées aux mesures obtenues avec la méthode LCR. Une des applications de la méthode fut de fournir des mesures de composition élémentaire fiables dans le cadre d'une collaboration dont le but est de trouver les caractéristiques du plasma et la région source d'un jet. La propagation dans la couronne et dans le milieu héliosphérique du jet a été ensuite modélisée pour déterminer sa composition in situ et s'il a atteint 1 UA. L'ensemble des méthodes et des outils nécessaires au travail de la thèse ont été développés avec la mission Solar Orbiter (lancée en février 2020) en tête. J'ai modélisé le bruit que nous obtiendrons dans les observations de SPICE et j'ai fourni trois ensembles de raies spectrales qui pourront être utilisés pour faire des mesures de composition. Ces trois ensembles seront utilisés pour concevoir des observations optimales de SPICE pour la production de cartes d'abondance coronales
Linking solar activity on the surface and in the corona to the inner heliosphere is one of the main goals of Solar Orbiter. Its unique combination of in-situ and remote sensing instruments can be used to shed light on this difficult task by, e.g., determining the source region of the solar wind measured in-situ at the spacecraft position. A key element in this are data on the elemental composition. Indeed, different structures on the Sun have different abundances as a consequence of the FIP (First Ionization Potential) effect. Comparing in-situ and remote sensing composition data, coupled with modeling, will allow us to trace back the source of heliospheric plasma. During my thesis, I developed a new method for measuring relative abundances of the solar corona using UV spectroscopy, the Linear Combination Ratio (LCR) method. This method can be telemetry efficient while remaining reliable; it is based on optimized linear combinations of spectral lines. This method has been tested on synthetic spectra and on spectroscopic observation data. Using a Bayesian approach, I then developed a way to determine the uncertainties related to the measurements obtained with the LCR method. One of the applications of the method was to provide reliable measurements of elemental composition in the framework of a collaboration whose goal is to find the characteristics of the plasma and the source region of a jet, a jet whose propagation in the corona and in the heliospheric medium will then be modeled to determine its composition in situ and whether it has reached 1 AU. All the methods and tools necessary for the thesis work have been developed with the Solar Orbiter mission (launched in February 2020) in mind. I have modeled the noise that we will obtain in the SPICE observations and I have provided three sets of spectral lines that could in principle be used to make composition measurements and that will be used to design optimal SPICE studies for abundance maps
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Books on the topic "Composition Data Analysis"

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Greenfield, H. Food Composition Data: Production, Management and Use. Boston, MA: Springer US, 1992.

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Kent, M. Electrical and dielectric properties of food materials: A bibliography and tabulated data. Hornchurch, Essex, England: Science and Technology Publishers, 1987.

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Greenfield, Heather. Food composition data: Production, management, and use. Rome: FAO, 2003.

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T, Southgate D. A., ed. Food composition data: Production, management, and use. London: Elsevier Applied Science, 1992.

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Dyman, T. S. Statistical analysis of compositional data from Desmoinesian sandstones in Oklahoma. Washington: U.S. G.P.O., 1989.

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Dyman, T. S. Statistical analysis of compositional data from Desmoinesian sandstones in Oklahoma. Washington, DC: Dept. of the Interior, 1989.

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André, Haeberli, ed. Human protein data. Weinheim: Wiley-VCH, 1998.

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Endowment, Virginia Environmental, Marshall University Research Corporation, West Virginia. Dept. of Environmental Protection, and Geological Survey (U.S.), eds. Traveltime and dispersion data, including associated discharge and water-surface elevation data, Kanawha River, West Virginia, 1991. Charleston, W. Va: U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

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D, Sharp R., and United States. National Aeronautics and Space Administration., eds. ISEE-1 data reduction and analysis plasma composition experiment: Final report. Greenbelt, MD: Goddard Space Flight Center, 1985.

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D, Sharp R., and United States. National Aeronautics and Space Administration., eds. ISEE-1 data reduction and analysis plasma composition experiment: Final report. Greenbelt, MD: Goddard Space Flight Center, 1985.

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Book chapters on the topic "Composition Data Analysis"

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Diamantini, Claudia, Domenico Potena, and Emanuele Storti. "Ontology-Driven KDD Process Composition." In Advances in Intelligent Data Analysis VIII, 285–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03915-7_25.

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Vong, Richard J., Ildiko E. Frank, Robert J. Charlson, and Bruce R. Kowalski. "Exploratory Data Analysis of Rainwater Composition." In ACS Symposium Series, 34–52. Washington, D.C.: American Chemical Society, 1985. http://dx.doi.org/10.1021/bk-1985-0292.ch003.

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Tulilaulu, Aurora, Joonas Paalasmaa, Mikko Waris, and Hannu Toivonen. "Sleep Musicalization: Automatic Music Composition from Sleep Measurements." In Advances in Intelligent Data Analysis XI, 392–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34156-4_36.

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Liu, Fangfang, Yuliang Shi, Liang Zhang, Lili Lin, and Baile Shi. "Analysis of Web Services Composition and Substitution Via CCS." In Data Engineering Issues in E-Commerce and Services, 236–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11780397_19.

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Schmidt, Andreas, and Steffen Scholz. "Powerful Data Analysis and Composition with the UNIX-Shell." In Lecture Notes in Computer Science, 582–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19274-7_49.

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Buongiorno Nardelli, Marco. "MUSICNTWRK: Data Tools for Music Theory, Analysis and Composition." In Lecture Notes in Computer Science, 190–215. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70210-6_14.

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Bessler, Wolfgang, and Julian Holler. "Hedge Funds and Asset Allocation: Investor Confidence, Diversification Benefits, and a Change in Investment Style Composition." In Advances in Data Analysis, Data Handling and Business Intelligence, 441–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01044-6_40.

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Qiu, Lei, Chao Yin, and Xiao-bin Li. "Information Composition Analysis and Adaptation Access of CNC Lathes in Cloud Manufacturing Environment." In Challenges and Opportunity with Big Data, 66–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61994-1_7.

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Shchelykalina, Svetlana P., Dmitry V. Nikolaev, Vladimir A. Kolesnikov, Kontantin A. Korostylev, and Olga A. Starunova. "Data Views Technology of Bioimpedance Vector Analysis of Human Body Composition." In IFMBE Proceedings, 77–83. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-3498-6_12.

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Jiang, Xingpeng, Xiaohua Hu, and Weiwei Xu. "Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data." In Bioinformatics Research and Applications, 346–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08171-7_31.

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Conference papers on the topic "Composition Data Analysis"

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Zolaktaf, Zainab, Mostafa Milani, and Rachel Pottinger. "Facilitating SQL Query Composition and Analysis." In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3318464.3380602.

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Mawlod, Arwa, Afzal Memon, Nikolaos Varotsis, Vassilis Gaganis, Vicky Anastasiadou, John Nighswander, and Muataz Salem Al Shuaibi. "Reducing Composition Characterization Uncertainties Through Advanced Machine Learning (ML) Techniques - Data Clustering." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211378-ms.

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Abstract Objectives/Scope Round-robin tests and laboratory audits have demonstrated that reservoir fluid compositions measurements can be systematically uncertain. To reduce compositional uncertainties, this work uses Machine Learning (ML) algorithms to update the existing measured fluid compositions and applies a compositional adjustment anchored on a decreased number of selected fluids representative of the entire compositional space. The resulting composition will reduce uncertainty in exploration and production models and diminish the risks in field development decisions. Methods, Procedures, Process Statistical error propagation analysis of reservoir fluid compositional measurements were completed to identify the parameters that most affect the overall uncertainty of the compositional analysis data. Advanced ML techniques were then used to perform clustering analysis of 800+ unique fluid compositions from legacy PVT reports. Dimensionality reduction exercise and data clustering utilizing the k-means algorithm were employed to identify parameters that best characterize the reservoir fluid properties to be corrected. The sampling candidate wells were identified to obtain new samples for the selected anchor points fluids that will be subjected to detailed fluids characterization. Results, Observations, Conclusions Systematic error propagation analysis demonstrated that, of the 140 independent parameters measured to determine a reservoir fluid composition (to C30+), the plus fraction concentration and molecular weight measurements uncertainties contributed the most towards the overall composition uncertainty for most black oil fluids. After extraction and collation of available reservoir fluid analysis data, a detailed review was completed to eliminate samples with significant mud filtrate contamination, obvious light end weathering and/or other inconsistencies. Once the dataset was validated, the dimensionality reduction task led to 5 principal dimensions space out of 57 initial possible features. The reduced dimension set included two distinct Cn- molar distribution slopes that best correlated the compositions data. Data clustering analysis was performed to identify the cluster centroids in the reduced dimension space. Wells with the closest compositions to cluster centroids were selected for sampling based on this work and the suitability of target wells for sampling. Further, extensive fluid compositions analysis with physical separation processes will be undertaken on the 50 selected anchor point fluids. Novel/Additive Information An original combination of reservoir fluids domain knowledge and advanced ML techniques have been applied to identify candidate wells to sample with the goal to significantly reduce the uncertainty in measured reservoir fluid composition. This unique workflow for composition corrections will help reduce the uncertainty in the critical techno-economic decisions that depend on fluids characterization data in the oil and gas field development domain.
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Murakami, Yohei, Masahiro Tanaka, Arif Bramantoro, and Koji Zettsu. "Data-Centered Service Composition for Information Analysis." In 2012 IEEE International Conference on Services Computing (SCC). IEEE, 2012. http://dx.doi.org/10.1109/scc.2012.88.

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Yang, Xiaoxia, Qing Zhu, Hai-feng Li, and Wen-hao Zhao. "Remotely sensed image processing service composition based on heuristic search." In International Conference on Earth Observation Data Processing and Analysis, edited by Deren Li, Jianya Gong, and Huayi Wu. SPIE, 2008. http://dx.doi.org/10.1117/12.815462.

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Akkus, Gokay Burak. "Semantic Web Services Composition: A Network Analysis Approach." In 2007 IEEE 23rd International Conference on Data Engineering Workshop. IEEE, 2007. http://dx.doi.org/10.1109/icdew.2007.4401088.

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Pawar, Archana A., D. K. Kamat, and P. M. Patil. "Body composition analysis using various anthropometric equations." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8390040.

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Hopke, Philip K., Yulong Xie, and Pentti Paatero. "Mixed multiway analysis of airborne particle composition data." In Photonics East '99, edited by Khalid J. Siddiqui and DeLyle Eastwood. SPIE, 1999. http://dx.doi.org/10.1117/12.372898.

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Siriweera, T. H. A. S., Incheon Paik, Banage T. G. S. Kumara, and K. R. C. Koswatta. "Intelligent Big Data Analysis Architecture Based on Automatic Service Composition." In 2015 IEEE International Congress on Big Data (BigData Congress). IEEE, 2015. http://dx.doi.org/10.1109/bigdatacongress.2015.46.

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Derry, Alexander, Kristy A. Carpenter, and Russ B. Altman. "Training data composition affects performance of protein structure analysis algorithms." In Pacific Symposium on Biocomputing 2022. WORLD SCIENTIFIC, 2021. http://dx.doi.org/10.1142/9789811250477_0002.

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Brodsky, Alexander, Mohan Krishnamoorthy, M. Omar Nachawati, William Z. Bernstein, and Daniel A. Menasce. "Manufacturing and contract service networks: Composition, optimization and tradeoff analysis based on a reusable repository of performance models." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258114.

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Reports on the topic "Composition Data Analysis"

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NGUYEN, D. M. Work plan for analysis of the uncertainty associated with phase 1 feed composition data. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/782404.

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Sutton, M., and J. Wen. LLNL Input to SNL Report on the Composition of Available Data for Used Nuclear Fuel Storage and Transportation Analysis. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1159266.

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García-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.

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This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.
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Prats Cabrera, Joan Oriol, and María Eugenia Pereira. Standardized Sovereign Debt Statistics for Latin America and the Caribbean: Analysis of Regional and Country Trends and Cross-Country Comparisons. Inter-American Development Bank, July 2022. http://dx.doi.org/10.18235/0004387.

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This document analyzes gross and net public debt data for countries in the Latin American and Caribbean (LAC) region up to December 2020. It provides a unique overview of the main characteristics of the regions debt and a comparative analysis of its most pressing risks (currency, maturity, rate, and credit). Its main purpose is to assess the changes in size and composition of debt for the region and to provide a comparative analysis of the diverse country cases that comprise it. 2020 was an atypical and pressing year in fiscal demands motivated by the COVID-19 pandemic, leading to increased financing needs and thus a potential to disrupt the characteristics of debt. Using debt data collected since 2006 by the IDBs LAC Debt Group, the analysis aims to contextualize the 2020 debt structure. It also analyzes LAC debt in the first year of the pandemic, examining its evolution between June 2020 and June 2021 and provides an overview of key variables for debt in LAC countries.
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Matthew, Gray. Data from "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans". University of Tennessee, Knoxville Libraries, January 2021. http://dx.doi.org/10.7290/t7sallfxxe.

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Environmental temperature is a key factor driving various biological processes, including immune defenses and host-pathogen interactions. Here, we evaluated the effects of environmental temperature on the pathogenicity of the emerging fungus, Batrachochytrium salamandrivorans (Bsal), using controlled laboratory experiments, and measured components of host immune defense to identify regulating mechanisms. We found that adult and juvenile Notophthalmus viridescens died faster due to Bsal chytridiomycosis at 14 ºC than at 6 and 22 ºC. Pathogen replication rates, total available proteins on the skin, and microbiome composition likely drove these relationships. Temperature-dependent skin microbiome composition in our laboratory experiments matched seasonal trends in wild N. viridescens, adding validity to these results. We also found that hydrophobic peptide production after two months post-exposure to Bsal was reduced in infected animals compared to controls, perhaps due to peptide release earlier in infection or impaired granular gland function in diseased animals. Using our temperature-dependent infection results, we performed a geographic analysis that suggested that N. viridescens populations in the northeastern United States and southeastern Canada are at greatest risk for Bsal invasion. Our results indicate that environmental temperature will play a key role in the epidemiology of Bsal and provide evidence that temperature manipulations may be a viable Bsal management strategy.
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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, March 2020. http://dx.doi.org/10.15760/mem.64.

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Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Department of Agriculture, 2020). Since 2010, Metro scientists and volunteers have collected phenology data on approximately 140 species of forbs and graminoids in regional oak prairie and woodlands. Phenology is the study of life-stage events in plants and animals, such as budbreak and senescence in flowering plants, and widely acknowledged as a sensitive indicator of environmental change (Parmesan 2007). Indeed, shifts in plant phenology have been observed over the last few decades as a result of climate change (Parmesan 2006). In oak systems, these changes have profound implications for plant community composition and diversity, as well as trophic interactions and general ecosystem function (Willis 2008). While the original intent of Metro’s phenology data-collection was to track long-term phenology trends, limitations in data collection methods have made such analysis difficult. Rather, these data are currently used to inform seasonal management decisions on Metro properties, such as when to collect seed for propagation and when to spray herbicide to control invasive species. Metro is now interested in fine-tuning their data-collection methods to better capture long-term phenology trends to guide future conservation strategies. Addressing the regional and global conservation issues of our time will require unprecedented collaboration. Phenology data collected on Metro properties is not only an important asset for Metro’s conservation plan, but holds potential to support broader research on a larger scale. As a leader in urban conservation, Metro is poised to make a meaningful scientific contribution by sharing phenology data with regional and national organizations. Data-sharing will benefit the common goal of conservation and create avenues for collaboration with other scientists and conservation practitioners (Rosemartin 2013). In order to support Metro’s ongoing conservation efforts in Oregon white oak systems, I have implemented a three-part master’s project. Part one of the project examines Metro’s previously collected phenology data, providing descriptive statistics and assessing the strengths and weaknesses of the methods by which the data were collected. Part two makes recommendations for improving future phenology data-collection methods, and includes recommendations for datasharing with regional and national organizations. Part three is a collection of scientific vouchers documenting key plant species in varying phases of phenology for Metro’s teaching herbarium. The purpose of these vouchers is to provide a visual tool for Metro staff and volunteers who rely on plant identification to carry out aspects of their job in plant conservation. Each component of this project addresses specific aspects of Metro’s conservation program, from day-to-day management concerns to long-term scientific inquiry.
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Grunsky, E. C., and D. Corrigan. Practical aspects of compositional data analysis using regional geochemical survey data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295694.

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Alokhina, Tetiana, and Vadym Gudzenko. Distribution of radionuclides in modern sediments of the rivers flowing into the Dnieper-Bug Estuary. EDP Sciences, 2021. http://dx.doi.org/10.31812/123456789/4617.

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The article presents the results of large-scale studies of the content and distribution of natural and man-made radionuclides in the sediments of the rivers flowing into the Dnieper-Bug estuary. The article also presents the results of the granulometric analysis of the surveyed water bodies. The data about natural radioactive elements in the sediments rivers flowing into the Dnieper-Bug estuary obtained in this research are demonstrated moderate specific activity, which, however, clearly correlates with the granulometric composition of sediments. The 137Cs determined by us is contained in the sediments of all studied water bodies and the places of it greatest concentration coincide with the areas in which the sediment is represented mainly by the pelitic fraction. The data obtained in this research can serve as a baseline data in natural radionuclides concentration in sediments rivers flowing into the Dnieper-Bug estuary. The obtained data can also be used for further monitoring of the specific activity of man-made radionuclides, in particular 137Cs.
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Zeng, Lu, Kaixin Liang, Ran Bao, Aamir Raoof, Sitong Chen, and Xinli Chi. Associations between sleep, sedentary behaviour, physical activity, and mental health outcomes: a systematic review of studies using compositional data analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0018.

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Kimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, September 2006. http://dx.doi.org/10.32747/2006.7695877.bard.

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Objectives: (1) Preparing panel data sets for both the United States and Israel that contain a rich set of farm attributes, such as size, specialization, and output composition, and farmers’ characteristics such as off-farm employment status, education, and family composition. (2) Developing an empirical framework for the joint analysis of all the endogenous variables of interest in a dynamic setting. (3) Estimating simultaneous equations of the endogenous variables using the panel data sets from both countries. (4) Analyzing, using the empirical results, the possible effects of economic policies and institutional changes on the dynamics of the farm sector. An added objective is analyzing structural changes in farm sectors in additional countries. Background: Farm sectors in developed countries, including the U.S. and Israel, have experienced a sharp decline in their size and importance during the second half of the 20th century. The overall trend is towards fewer and larger farms that rely less on family labor. These structural changes have been a reaction to changes in technology, in government policies, and in market conditions: decreasing terms of trade, increasing alternative opportunities, and urbanization pressures. As these factors continue to change, so does the structure of the agricultural sector. Conclusions: We have shown that all major dimensions of structural changes in agriculture are closely interlinked. These include farm efficiency, farm scale, farm scope (diversification), and off-farm labor. We have also shown that these conclusions hold and perhaps even become stronger whenever dynamic aspects of structural adjustments are explicitly modeled using longitudinal data. While the results vary somewhat in the different applications, several common features are observed for both the U.S. and Israel. First, the trend towards the concentration of farm production in a smaller number of larger farm enterprises is likely to continue. Second, at the micro level, increased farm size is negatively associated with increased off-farm labor, with the causality going both ways. Third, the increase in farm size is mostly achieved by diversifying farm production into additional activities (crops or livestock). All these imply that the farm sector converges towards a bi-modal farm distribution, with some farms becoming commercial while the remaining farm households either exit farming altogether or continue producing but rely heavily on off-farm income. Implications: The primary scientific implication of this project is that one should not analyze a specific farm attribute in isolation. We have shown that controlling for the joint determination of the various farm and household attributes is crucial for obtaining meaningful empirical results. The policy implications are to some extent general but could be different in the two countries. The general implication is that farm policy is an important determinant of structural changes in the farm sector. For the U.S., we have shown the different effects of coupled and decoupled (direct) farm payments on the various farm attributes, and also shown that it is important to take into account the joint farm-household decisions in order to conduct a meaningful policy analysis. Only this kind of analysis explains the indirect effect of direct farm payments on farm production decisions. For Israel, we concluded that farm policy (or lack of farm policy) has contributed to the fast structural changes we observed over the last 25 years. The sharp change of direction in farm policy that started in the early 1980s has accelerated structural changes that could have been smoother otherwise. These accelerated structural changes most likely lead to welfare losses in rural areas.
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