Academic literature on the topic 'Data Analysis Workflow'
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Journal articles on the topic "Data Analysis Workflow"
Pfaff, Claas-Thido, Karin Nadrowski, Sophia Ratcliffe, Christian Wirth, and Helge Bruelheide. "Readable workflows need simple data." F1000Research 3 (May 14, 2014): 110. http://dx.doi.org/10.12688/f1000research.3940.1.
Full textSong, Tianhong, Sven Köhler, Bertram Ludäscher, James Hanken, Maureen Kelly, David Lowery, James A. Macklin, Paul J. Morris, and Robert A. Morris. "Towards Automated Design, Analysis and Optimization of Declarative Curation Workflows." International Journal of Digital Curation 9, no. 2 (October 29, 2014): 111–22. http://dx.doi.org/10.2218/ijdc.v9i2.337.
Full textHribar, Michelle R., Sarah Read-Brown, Isaac H. Goldstein, Leah G. Reznick, Lorinna Lombardi, Mansi Parikh, Winston Chamberlain, and Michael F. Chiang. "Secondary use of electronic health record data for clinical workflow analysis." Journal of the American Medical Informatics Association 25, no. 1 (September 26, 2017): 40–46. http://dx.doi.org/10.1093/jamia/ocx098.
Full textSuetake, Hirotaka, Tomoya Tanjo, Manabu Ishii, Bruno P. Kinoshita, Takeshi Fujino, Tsuyoshi Hachiya, Yuichi Kodama, et al. "Sapporo: A workflow execution service that encourages the reuse of workflows in various languages in bioinformatics." F1000Research 11 (August 4, 2022): 889. http://dx.doi.org/10.12688/f1000research.122924.1.
Full textThang, Mike W. C., Xin-Yi Chua, Gareth Price, Dominique Gorse, and Matt A. Field. "MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data." F1000Research 8 (May 23, 2019): 726. http://dx.doi.org/10.12688/f1000research.18866.1.
Full textŠimko, Tibor, Lukas Heinrich, Harri Hirvonsalo, Dinos Kousidis, and Diego Rodríguez. "REANA: A System for Reusable Research Data Analyses." EPJ Web of Conferences 214 (2019): 06034. http://dx.doi.org/10.1051/epjconf/201921406034.
Full textSouza, Renan, Vitor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, and Marta Mattoso. "Distributed in-memory data management for workflow executions." PeerJ Computer Science 7 (May 7, 2021): e527. http://dx.doi.org/10.7717/peerj-cs.527.
Full textThang, Mike W. C., Xin-Yi Chua, Gareth Price, Dominique Gorse, and Matt A. Field. "MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data." F1000Research 8 (October 18, 2019): 726. http://dx.doi.org/10.12688/f1000research.18866.2.
Full textCurcin, Vasa, Moustafa Ghanem, and Yike Guo. "The design and implementation of a workflow analysis tool." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1926 (September 13, 2010): 4193–208. http://dx.doi.org/10.1098/rsta.2010.0157.
Full textJackson, Michael, Kostas Kavoussanakis, and Edward W. J. Wallace. "Using prototyping to choose a bioinformatics workflow management system." PLOS Computational Biology 17, no. 2 (February 25, 2021): e1008622. http://dx.doi.org/10.1371/journal.pcbi.1008622.
Full textDissertations / Theses on the topic "Data Analysis Workflow"
Rodrigues, Roberto Wagner da Silva. "Deviation analysis of inter-organisational workflow systems." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271151.
Full textMarsolo, Keith Allen. "A workflow for the modeling and analysis of biomedical data." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180309265.
Full textCutler, Darren W., and Tyler J. Rasmussen. "Usability Testing and Workflow Analysis of the TRADOC Data Visualization Tool." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17350.
Full textThe volume of data available to military decision makers is vast. Leaders need tools to sort, analyze, and present information in an effective manner. Software complexity is also increasing, with user interfaces becoming more intricate and interactive. The Data Visualization Tool (DaViTo) is an effort by TRAC Monterey to produce a tool for use by personnel with little statistical background to process and display this data. To meet the program goals and make analytical capabilities more widely available, the user interface and data representation techniques need refinement. This usability test is a task-oriented study using eye-tracking, data representation techniques, and surveys to generate recommendations for software improvement. Twenty-four subjects participated in three sessions using DaViTo over a three-week period. The first two sessions consisted of training followed by basic reinforcement tasks, evaluation of graphical methods, and a brief survey. The final session was a task-oriented session followed by graphical representations evaluation and an extensive survey. Results from the three sessions were analyzed and 37 recommendations generated for the improvement of DaViTo. Improving software latency, providing more graphing options and tools, and inclusion of an effective training product are examples of important recommendations that would greatly improve usability.
Nagavaram, Ashish. "Cloud Based Dynamic Workflow with QOS For Mass Spectrometry Data Analysis." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322681210.
Full textKwak, Daniel (Daniel Joowon). "Investigation of intrinsic rotation dependencies in Alcator C-Mod using a new data analysis workflow." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/103705.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 190-193).
Toroidal rotation, important for suppressing various turbulent modes, mitigating MHD instabilities, and preventing locked modes that cause disruptions, may not be sufficiently generated by external devices in larger devices i.e. ITER. One possible solution is intrinsic rotation, self-generated flow without external momentum input, which has been observed in multiple tokamaks. More specifically, rotation reversals, a sudden change in direction of intrinsic rotation without significant change in global plasma parameters, have also been observed and are not yet fully understood. Studying this phenomenon in ohmic L-mode plasmas presents a rich opportunity to gain better understanding of intrinsic rotation and of momentum transport as a whole. The literature presents many different hypotheses, and this thesis explores three in particular. The first two hypotheses each posits a unique parameter as the primary dependency of reversals - the dominant turbulent mode, or the fastest growing turbulent mode(TEM/ITG), and the local density and temperature profile gradients, especially the electron density gradient, respectively. Other studies state that neoclassical effects cause the reversals and one study in particular presents a 1-D analytical model. Utilizing a new data analysis workflow built around GYRO, a gyrokinetic-Maxwell solver, hundreds of intrinsic rotation shots at Alcator C-Mod can be processed and analyzed without constant user management, which is used to test the three hypotheses. By comparing the rotation gradient u', a proxy variable indicative of the core toroidal intrinsic rotation velocity, to the parameters identified by the hypotheses, little correlation has been found between u' and the dominant turbulence regime and the ion temperature, electron temperature, and electron density profile gradients. The plasma remains ITG-dominated based on linear stability analysis regardless of rotation direction and the local profile gradients are not statistically significant in predicting the u'. Additionally, the experimental results in C-Mod and ASDEX Upgrade have shown strong disagreement with the 1 -D neoclassical model. Strong correlation has been found between u' and the effective collisionality Veff. These findings are inconsistent with previous experimental studies and suggest that further work is required to identify other key dependencies and/or uncover the complex physics and mechanisms at play.
by Daniel (Joowon) Kwak
S.M.
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.
Full textIn 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
Kreiß, Lucas [Verfasser], Oliver [Akademischer Betreuer] Friedrich, and Maximilian [Gutachter] Waldner. "Advanced Optical Technologies for Label-free Tissue Diagnostics - A complete workflow from the optical bench, over experimental studies to data analysis / Lucas Kreiß ; Gutachter: Maximilian Waldner ; Betreuer: Oliver Friedrich." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2021. http://d-nb.info/1228627568/34.
Full textJaradat, Ward. "On the construction of decentralised service-oriented orchestration systems." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/8036.
Full textMusaraj, Kreshnik. "Extraction automatique de protocoles de communication pour la composition de services Web." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10288/document.
Full textBusiness process management, service-oriented architectures and their reverse engineering heavily rely on the fundamental endeavor of mining business process models and Web service business protocols from log files. Model extraction and mining aim at the (re)discovery of the behavior of a running model implementation using solely its interaction and activity traces, and no a priori information on the target model. Our preliminary study shows that : (i) a minority of interaction data is recorded by process and service-aware architectures, (ii) a limited number of methods achieve model extraction without knowledge of either positive process and protocol instances or the information to infer them, and (iii) the existing approaches rely on restrictive assumptions that only a fraction of real-world Web services satisfy. Enabling the extraction of these interaction models from activity logs based on realistic hypothesis necessitates: (i) approaches that make abstraction of the business context in order to allow their extended and generic usage, and (ii) tools for assessing the mining result through implementation of the process and service life-cycle. Moreover, since interaction logs are often incomplete, uncertain and contain errors, then mining approaches proposed in this work need to be capable of handling these imperfections properly. We propose a set of mathematical models that encompass the different aspects of process and protocol mining. The extraction approaches that we present, issued from linear algebra, allow us to extract the business protocol while merging the classic process mining stages. On the other hand, our protocol representation based on time series of flow density variations makes it possible to recover the temporal order of execution of events and messages in the process. In addition, we propose the concept of proper timeouts to refer to timed transitions, and provide a method for extracting them despite their property of being invisible in logs. In the end, we present a multitask framework aimed at supporting all the steps of the process workflow and business protocol life-cycle from design to optimization.The approaches presented in this manuscript have been implemented in prototype tools, and experimentally validated on scalable datasets and real-world process and web service models.The discovered business protocols, can thus be used to perform a multitude of tasks in an organization or enterprise
Khemiri, Wael. "Data-intensive interactive workflows for visual analytics." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00659227.
Full textBooks on the topic "Data Analysis Workflow"
Long, J. Scott. The workflow of data analysis using Stata. College Station, Tex: Stata Press, 2009.
Find full textThe workflow of data analysis using Stata. College Station, Tex: Stata Press, 2009.
Find full textBusiness process modeling: Software engineering, analysis and applications. Hauppauge, N.Y: Nova Science Publishers, 2010.
Find full textOuld, Martyn A. Business process management: A rigorous approach. Tampa, FL: Meghan-Kiffer Press, 2005.
Find full textMiura, Kota. Bioimage Data Analysis Workflows. Cham: Springer Nature, 2020.
Find full textMiura, Kota, and Nataša Sladoje, eds. Bioimage Data Analysis Workflows. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-22386-1.
Full textTova, Milo, ed. Business processes: A database perspective. [San Rafael, Calif.]: Morgan & Claypool, 2012.
Find full textMiura, Kota, and Nataša Sladoje, eds. Bioimage Data Analysis Workflows ‒ Advanced Components and Methods. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7.
Full textGarg, Harish. Mastering Exploratory Analysis with pandas: Build an end-to-end data analysis workflow with Python. Packt Publishing, 2018.
Find full text(Editor), Ian J. Taylor, Ewa Deelman (Editor), Dennis B. Gannon (Editor), and Matthew Shields (Editor), eds. Workflows for e-Science: Scientific Workflows for Grids. Springer, 2006.
Find full textBook chapters on the topic "Data Analysis Workflow"
Louveaux, Marion, and Stéphane Verger. "How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut." In Bioimage Data Analysis Workflows ‒ Advanced Components and Methods, 115–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7_6.
Full textBelcastro, Loris, and Fabrizio Marozzo. "Workflow Systems for Big Data Analysis." In Encyclopedia of Big Data Technologies, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_137-1.
Full textBelcastro, Loris, and Fabrizio Marozzo. "Workflow Systems for Big Data Analysis." In Encyclopedia of Big Data Technologies, 1811–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_137.
Full textBelcastro, Loris, and Fabrizio Marozzo. "Workflow Systems for Big Data Analysis." In Encyclopedia of Big Data Technologies, 1–7. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-319-63962-8_137-2.
Full textAliano, Antonio, Giancarlo Cicero, Hossein Nili, Nicolas G. Green, Pablo García-Sánchez, Antonio Ramos, Andreas Lenshof, et al. "Automatic Data Analysis Workflow for RNAi." In Encyclopedia of Nanotechnology, 171. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_100047.
Full textGaaloul, Walid, Karim Baïna, and Claude Godart. "A Bottom-Up Workflow Mining Approach for Workflow Applications Analysis." In Data Engineering Issues in E-Commerce and Services, 182–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11780397_15.
Full textSchätzle, R., and W. Stucky. "Modeling Concepts for Flexible Workflow Support." In Studies in Classification, Data Analysis, and Knowledge Organization, 376–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60187-3_39.
Full textGómez-de-Mariscal, Estibaliz, Daniel Franco-Barranco, Arrate Muñoz-Barrutia, and Ignacio Arganda-Carreras. "Building a Bioimage Analysis Workflow Using Deep Learning." In Bioimage Data Analysis Workflows ‒ Advanced Components and Methods, 59–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7_4.
Full textKotouza, Maria Th, Fotis E. Psomopoulos, and Pericles A. Mitkas. "A Dockerized String Analysis Workflow for Big Data." In Communications in Computer and Information Science, 564–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30278-8_55.
Full textWendlinger, Lorenz, Emanuel Berndl, and Michael Granitzer. "Methods for Automatic Machine-Learning Workflow Analysis." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 52–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86517-7_4.
Full textConference papers on the topic "Data Analysis Workflow"
Balis, Bartosz. "Hypermedia Workflow: A New Approach to Data-Driven Scientific Workflows." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.25.
Full textSong, Tianhong. "Provenance-Driven Data Curation Workflow Analysis." In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2744680.2744691.
Full textKeiswetter, Dean, and Tom Furuya. "DATA ANALYSIS WORKFLOW FOR UXO CLASSIFICATION." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.4133/sageep.27-164.
Full textKeiswetter, Dean, and Tom Furuya. "DATA ANALYSIS WORKFLOW FOR UXO CLASSIFICATION." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.1190/sageep.27-164.
Full textSong, Zhengyi, and Young Moon. "Data Modeling and Workflow Analysis of Cyber-Manufacturing Systems." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23149.
Full textNeumuth, Thomas, Svetlana Mansmann, Marc H. Scholl, and Oliver Burgert. "Data Warehousing Technology for Surgical Workflow Analysis." In 2008 21st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.41.
Full textBerlingerio, Michele, Fabio Pinelli, Mirco Nanni, and Fosca Giannotti. "Temporal mining for interactive workflow data analysis." In the 15th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1557019.1557038.
Full textGancheva, Veska, and Violeta Todorova. "Workflow for Medical Data Classification and Analysis." In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 2022. http://dx.doi.org/10.1109/ismsit56059.2022.9932780.
Full textLee, Carlyn-Ann, Mohsin A. Shaikh, Charles Lee, and Dominik Michels. "Lunar Terrain Coverage Analysis Data Delivery Workflow." In ASCEND 2021. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-4039.
Full textSethi, Ricky J., Hyunjoon Jo, and Yolanda Gil. "Re-Using Workflow Fragments across Multiple Data Domains." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.24.
Full textReports on the topic "Data Analysis Workflow"
Salter, R., Quyen Dong, Cody Coleman, Maria Seale, Alicia Ruvinsky, LaKenya Walker, and W. Bond. Data Lake Ecosystem Workflow. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40203.
Full textGerecke, William, Douglas Enas, and Susan Gottschlich. A Distributed Collaborative Workflow Based Approach to Data Collection and Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada466000.
Full textBauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40846.
Full textTang, Pingo, Alper Yilmaz, and Nancy Cooke. Automatic Imagery Data Analysis for Proactive Computer-Based Workflow Management during Nuclear Power Plant Outages. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1491996.
Full textFuentes, Anthony, Michelle Michaels, and Sally Shoop. Methodology for the analysis of geospatial and vehicle datasets in the R language. Cold Regions Research and Engineering Laboratory (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42422.
Full textEisenhauer, Greg. PERFORMANCE UNDERSTANDING AND ANALYSIS FOR EXASCALE DATA MANAGEMENT WORKFLOWS. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1490730.
Full textMalony, Allen. Performance Understanding and Analysis for Exascale Data Management Workflows. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1546804.
Full textLougheed, H. D., M. B. McClenaghan, D. Layton-Matthews, and M. I. Leybourne. Indicator minerals in fine-fraction till heavy-mineral concentrates determined by automated mineral analysis: examples from two Canadian polymetallic base-metal deposits. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328011.
Full textLiu, X., Z. Chen, and S. E. Grasby. Using shallow temperature measurements to evaluate thermal flux anomalies in the southern Mount Meager volcanic area, British Columbia, Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330009.
Full textde Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.
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