Littérature scientifique sur le sujet « Exploration interactive de données »
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Articles de revues sur le sujet "Exploration interactive de données"
Contu, S., R. Schiappa, D. Culié, E. Seutin, T. Pace-Loscos et E. Chamorey. « P30 - Structuration automatique des données des dossiers médicaux et exploration statistique interactive ». Journal of Epidemiology and Population Health 72 (mai 2024) : 202470. http://dx.doi.org/10.1016/j.jeph.2024.202470.
Texte intégralGibbs, Bobby, Jonas Braasch et Ted Krueger. « Interactive acoustical intimacy exploration ». Journal of the Acoustical Society of America 121, no 5 (mai 2007) : 3094. http://dx.doi.org/10.1121/1.4781976.
Texte intégralHaag, Moritz P., Alain C. Vaucher, Maël Bosson, Stéphane Redon et Markus Reiher. « Interactive Chemical Reactivity Exploration ». ChemPhysChem 15, no 15 (9 septembre 2014) : 3301–19. http://dx.doi.org/10.1002/cphc.201402342.
Texte intégralPerdriset, Françoise. « Paroles volées, paroles données : l'enquête, une pratique interactive ? » Mots 23, no 1 (1990) : 100–106. http://dx.doi.org/10.3406/mots.1990.1523.
Texte intégralKrone, M., M. Falk, S. Rehm, J. Pleiss et T. Ertl. « Interactive Exploration of Protein Cavities ». Computer Graphics Forum 30, no 3 (juin 2011) : 673–82. http://dx.doi.org/10.1111/j.1467-8659.2011.01916.x.
Texte intégralElkhaldi, Maher, et Robert Woodbury. « Interactive Design Exploration with Alt.Text ». International Journal of Architectural Computing 13, no 2 (juin 2015) : 103–22. http://dx.doi.org/10.1260/1478-0771.13.2.103.
Texte intégralPonciano, Daniel, Marcos Seefelder et Ricardo Marroquim. « Graph-based interactive volume exploration ». Computers & ; Graphics 60 (novembre 2016) : 55–65. http://dx.doi.org/10.1016/j.cag.2016.06.007.
Texte intégralExbrayat, Matthieu, et Lionel Martin. « Exploration interactive d'un espace d'écritures médiévales ». Gazette du livre médiéval 56, no 1 (2011) : 101–18. http://dx.doi.org/10.3406/galim.2011.1984.
Texte intégralSchulz, Adriana, Harrison Wang, Eitan Grinspun, Justin Solomon et Wojciech Matusik. « Interactive exploration of design trade-offs ». ACM Transactions on Graphics 37, no 4 (10 août 2018) : 1–14. http://dx.doi.org/10.1145/3197517.3201385.
Texte intégralSunseri, Jocelyn, et David Ryan Koes. « Pharmit : interactive exploration of chemical space ». Nucleic Acids Research 44, W1 (19 avril 2016) : W442—W448. http://dx.doi.org/10.1093/nar/gkw287.
Texte intégralThèses sur le sujet "Exploration interactive de données"
Alam, Mehwish. « Découverte interactive de connaissances dans le web des données ». Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0158/document.
Texte intégralRecently, the “Web of Documents” has become the “Web of Data”, i.e., the documents are annotated in the form of RDF making this human processable data directly processable by machines. This data can further be explored by the user using SPARQL queries. As web clustering engines provide classification of the results obtained by querying web of documents, a framework for providing classification over SPARQL query answers is also needed to make sense of what is contained in the data. Exploratory Data Mining focuses on providing an insight into the data. It also allows filtering of non-interesting parts of data by directly involving the domain expert in the process. This thesis contributes in aiding the user in exploring Linked Data with the help of exploratory data mining. We study three research directions, i.e., 1) Creating views over RDF graphs and allow user interaction over these views, 2) assessing the quality and completing RDF data and finally 3) simultaneous navigation/exploration over heterogeneous and multiple resources present on Linked Data. Firstly, we introduce a solution modifier i.e., View By to create views over RDF graphs by classifying SPARQL query answers with the help of Formal Concept Analysis. In order to navigate the obtained concept lattice and extract knowledge units, we develop a new tool called RV-Explorer (Rdf View eXplorer) which implements several navigational modes. However, this navigation/exploration reveal several incompletions in the data sets. In order to complete the data, we use association rule mining for completing RDF data. Furthermore, for providing navigation and exploration directly over RDF graphs along with background knowledge, RDF triples are clustered w.r.t. background knowledge and these clusters can then be navigated and interactively explored. Finally, it can be concluded that instead of providing direct exploration we use FCA as an aid for clustering RDF data and allow user to explore these clusters of data and enable the user to reduce his exploration space by interaction
Da, Costa David. « Visualisation et fouille interactive de données à base de points d'intérêts ». Tours, 2007. http://www.theses.fr/2007TOUR4021.
Texte intégralIn this thesis, we present the problem of the visual data mining. We generally notice that it is specific to the types of data and that it is necessary to spend a long time to analyze the results in order to obtain an answer on the aspect of data. In this thesis, we have developed an interactive visualization environment for data exploration using points of interest. This tool visualizes all types of data and is generic because it uses only one similarity measure. These methods must be able to deal with large data sets. We also sought to improve the performances of our visualization algorithms, thus we managed to represent one million data. We also extended our tool to the data clustering. Most existing data clustering methods work in an automatic way, the user is not implied iin the process. We try to involve more significantly the user role in the data clustering process in order to improve his comprehensibility of the data results
Hurter, Christophe. « Caractérisation de visualisations et exploration interactive de grandes quantités de données multidimensionnelles ». Phd thesis, Université Paul Sabatier - Toulouse III, 2010. http://tel.archives-ouvertes.fr/tel-00610623.
Texte intégralBen, Said Guefrech Zohra. « A virtual reality-based approach for interactive and visual mining of association rules ». Nantes, 2012. http://archive.bu.univ-nantes.fr/pollux/show.action?id=359deab9-229a-4369-908d-bfbbe98adaea.
Texte intégralThis thesis is at the intersection of two active research areas : Association Rules Mining and Virtual Reality. The main limitations of the association rule extraction algorithms are (i) the large amount of the generated rules and (ii) their low quality. Several solutions have been proposed to address this problem such as, the post-processing of association rules that allows rule validation and extraction of useful knowledge. Whereas rules are automatically extracted by combinatorial algorithms, rule post-processing is done by the user. Visualisation can help the user facing the large amount of rules by representing them in visual form. In order to find relevant knowledge in visual representations, the user needs to interact with these representations. To this aim, it is essential to provide the user with efficient interaction techniques. This work addresses two main issues : an association rule representation that allows the user quickly detection of the most interesting rules and interactive exploration of rules. The first issue requires an intuitive representation metaphor of association rules. The second requires an interactive exploration process allowing the user to explore the rule search space focusing on interesting rules. The main contributions of this work can be summarised as follows : – We propose a new classification for Visual Data Mining techniques, based on both 3D representations and interaction techniques. Such a classification helps the user choosing a visual representation and an interaction technique for his/her application. – We propose a new visualisation metaphor for association rules that takes into account the attributes of the rule, the contribution of each one, and their correlations. – We propose a methodology for interactive exploration of association rules to facilitate the user task facing large sets of rules taking into account his/her cognitive capabilities. In this methodology, local algorithms are used to recommend better rules based on a reference rule which is proposed by the user. Then, the user can both drives extraction and post-processing of rules using appropriate interaction operators. – We developed a tool that implements all the methodology functionality. The tool is based on an intuitive display in a virtual environment and supports multiple interaction methods
Djedaini, Mahfoud. « Automatic assessment of OLAP exploration quality ». Thesis, Tours, 2017. http://www.theses.fr/2017TOUR4038/document.
Texte intégralIn a Big Data context, traditional data analysis is becoming more and more tedious. Many approaches have been designed and developed to support analysts in their exploration tasks. However, there is no automatic, unified method for evaluating the quality of support for these different approaches. Current benchmarks focus mainly on the evaluation of systems in terms of temporal, energy or financial performance. In this thesis, we propose a model, based on supervised automatic leaming methods, to evaluate the quality of an OLAP exploration. We use this model to build an evaluation benchmark of exploration support sys.terns, the general principle of which is to allow these systems to generate explorations and then to evaluate them through the explorations they produce
Wang, Xiyao. « Augmented reality environments for the interactive exploration of 3D data ». Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG052.
Texte intégralExploratory visualization of 3D data is fundamental in many scientific domains. Traditionally, experts use a PC workstation and rely on mouse and keyboard to interactively adjust the view to observe the data. This setup provides immersion through interaction---users can precisely control the view and the parameters, but it does not provide any depth clues which can limit the comprehension of large and complex 3D data. Virtual or augmented reality (V/AR) setups, in contrast, provide visual immersion with stereoscopic views. Although their benefits have been proven, several limitations restrict their application to existing workflows, including high setup/maintenance needs, difficulties of precise control, and, more importantly, the separation from traditional analysis tools. To benefit from both sides, we thus investigated a hybrid setting combining an AR environment with a traditional PC to provide both interactive and visual immersions for 3D data exploration. We closely collaborated with particle physicists to understand their general working process and visualization requirements to motivate our design. First, building on our observations and discussions with physicists, we built up a prototype that supports fundamental tasks for exploring their datasets. This prototype treated the AR space as an extension to the PC screen and allowed users to freely interact with each using the mouse. Thus, experts could benefit from the visual immersion while using analysis tools on the PC. An observational study with 7 physicists in CERN validated the feasibility of such a hybrid setting, and confirmed the benefits. We also found that the large canvas of the AR and walking around to observe the data in AR had a great potential for data exploration. However, the design of mouse interaction in AR and the use of PC widgets in AR needed improvements. Second, based on the results of the first study, we decided against intensively using flat widgets in AR. But we wondered if using the mouse for navigating in AR is problematic compared to high degrees of freedom (DOFs) input, and then attempted to investigate if the match or mismatch of dimensionality between input and output devices play an important role in users’ performance. Results of user studies (that compared the performance of using mouse, space mouse, and tangible tablet paired with the screen or the AR space) did not show that the (mis-)match was important. We thus concluded that the dimensionality was not a critical point to consider, which suggested that users are free to choose any input that is suitable for a specific task. Moreover, our results suggested that the mouse was still an efficient tool compared to high DOFs input. We can therefore validate our design of keeping the mouse as the primary input for the hybrid setting, while other modalities should only serve as an addition for specific use cases. Next, to support the interaction and to keep the background information while users are walking around to observe the data in AR, we proposed to add a mobile device. We introduced a novel approach that augments tactile interaction with pressure sensing for 3D object manipulation/view navigation. Results showed that this method could efficiently improve the accuracy, with limited influence on completion time. We thus believe that it is useful for visualization purposes where a high accuracy is usually demanded. Finally, we summed up in this thesis all the findings we have and came up with an envisioned setup for a realistic data exploration scenario that makes use of a PC workstation, an AR headset, and a mobile device. The work presented in this thesis shows the potential of combining a PC workstation with AR environments to improve the process of 3D data exploration and confirms its feasibility, all of which will hopefully inspire future designs that seamlessly bring immersive visualization to existing scientific workflows
Destandau, Marie. « Path-Based Interactive Visual Exploration of Knowledge Graphs ». Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG063.
Texte intégralKnowledge Graphs facilitate the pooling and sharing of information from different domains. They rely on small units of information named triples that can be combined to form higher-level statements. Producing interactive visual interfaces to explore collections in Knowledge Graphs is a complex problem, mostly unresolved. In this thesis, I introduce the concept of path outlines to encode aggregate information relative to a chain of triples. I demonstrate 3 applications of the concept withthe design and implementation of 3 open source tools. S-Paths lets users browse meaningful overviews of collections; Path Outlines supports data producers in browsing the statements thatcan be produced from their data; and The Missing Path supports data producers in analysingincompleteness in their data. I show that the concept not only supports interactive visual interfaces for Knowledge Graphs but also helps better their quality
Vidal, Jules. « Progressivité en analyse topologique de données ». Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS398.
Texte intégralTopological Data Analysis (TDA) forms a collection of tools that enable the generic and efficient extraction of features in data. However, although most TDA algorithms have practicable asymptotic complexities, these methods are rarely interactive on real-life datasets, which limits their usability for interactive data analysis and visualization. In this thesis, we aimed at developing progressive methods for the TDA of scientific scalar data, that can be interrupted to swiftly provide a meaningful approximate output and that are able to refine it otherwise. First, we introduce two progressive algorithms for the computation of the critical points and the extremum-saddle persistence diagram of a scalar field. Next, we revisit this progressive framework to introduce an approximation algorithm for the persistence diagram of a scalar field, with strong guarantees on the related approximation error. Finally, in a effort to perform visual analysis of ensemble data, we present a novel progressive algorithm for the computation of the discrete Wasserstein barycenter of a set of persistence diagrams, a notoriously computationally intensive task. Our progressive approach enables the approximation of the barycenter within interactive times. We extend this method to a progressive, time-constraint, topological ensemble clustering algorithm
Lavallard, Anne. « Exploration interactive d'archives de forums : Le cas des jeux de rôle en ligne ». Phd thesis, Université de Caen, 2008. http://tel.archives-ouvertes.fr/tel-00292617.
Texte intégralCouturier, Olivier. « Contribution à la fouille de données : règles d'association et interactivité au sein d'un processus d'extraction de connaissances dans les données ». Artois, 2005. http://www.theses.fr/2005ARTO0410.
Texte intégralLivres sur le sujet "Exploration interactive de données"
1969-, Grieser Gunter, et Tanaka Y, dir. Intuitive human interfaces for organizing and accessing intellectual assets : International workshop, Dagstuhl Castle, Germany, March 1-5, 2004 : revised selected papers. Berlin : Springer, 2004.
Trouver le texte intégral1958-, Liu Huan, dir. Modeling and data mining in blogosphere. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2009.
Trouver le texte intégralJambu, Michel. Introduction au data mining : Analyse intelligente des données. Paris : Eyrolles, 1999.
Trouver le texte intégralOntario. Esquisse de cours 12e année : Mathématiques de la gestion des données mdm4u cours préuniversitaire. Vanier, Ont : CFORP, 2002.
Trouver le texte intégralExploring Mars : An interactive space exploration adventure. Oxford : Raintree, 2016.
Trouver le texte intégralZhang, Zhongfei. Multimedia data mining : A systematic introduction to concepts and theory. Boca Raton : Chapman & Hall/CRC, 2008.
Trouver le texte intégralApollo 11 moon landing : An interactive space exploration adventure. North Mankato, Minnesota : Capstone Press, 2017.
Trouver le texte intégralScott, Leutenegger, Mavriplis Dimitri et Institute for Computer Applications in Science and Engineering., dir. Interactive exploration of large 3-D unstructured-grid data. Hampton, VA : Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.
Trouver le texte intégralF, Elder John, et Miner Gary, dir. Handbook of statistical analysis and data mining applications. Boston : Elsevier Academic Press, 2009.
Trouver le texte intégralMehmed, Kantardzic, et Zurada Jozef 1949-, dir. Next generation of data-mining applications. Hoboken, N.J : Wiley-Interscience, 2005.
Trouver le texte intégralChapitres de livres sur le sujet "Exploration interactive de données"
Binnig, Carsten, Fuat Basık, Benedetto Buratti, Ugur Cetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins et al. « Towards Interactive Data Exploration ». Dans Real-Time Business Intelligence and Analytics, 177–90. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24124-7_11.
Texte intégralWeber, Gunther H., et Helwig Hauser. « Interactive Visual Exploration and Analysis ». Dans Mathematics and Visualization, 161–73. London : Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6497-5_15.
Texte intégralMihelčić, Matej, et Tomislav Šmuc. « InterSet : Interactive Redescription Set Exploration ». Dans Discovery Science, 35–50. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46307-0_3.
Texte intégralSchaefer, Gerald. « Interactive Exploration of Image Collections ». Dans Computer Recognition Systems 4, 229–38. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20320-6_24.
Texte intégralJohansson, Moa. « Automated Theory Exploration for Interactive Theorem Proving : ». Dans Interactive Theorem Proving, 1–11. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66107-0_1.
Texte intégralVerouden, Nick, Mirjam Vosmeer et Alyea Sandovar. « Sleep Tight Johnny Idaho A Multicultural Exploration into Virtual Reality ». Dans Interactive Storytelling, 356–58. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04028-4_41.
Texte intégralEndrass, Birgit, Christoph Klimmt, Gregor Mehlmann, Elisabeth André et Christian Roth. « Exploration of User Reactions to Different Dialog-Based Interaction Styles ». Dans Interactive Storytelling, 243–48. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25289-1_26.
Texte intégralIsenberg, Petra, Uta Hinrichs, Mark Hancock et Sheelagh Carpendale. « Digital Tables for Collaborative Information Exploration ». Dans Tabletops - Horizontal Interactive Displays, 387–405. London : Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-113-4_16.
Texte intégralBattad, Zev, Andrew White et Mei Si. « Facilitating Information Exploration of Archival Library Materials Through Multi-modal Storytelling ». Dans Interactive Storytelling, 120–27. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33894-7_13.
Texte intégralChatzopoulou, Gloria, Magdalini Eirinaki et Neoklis Polyzotis. « Query Recommendations for Interactive Database Exploration ». Dans Lecture Notes in Computer Science, 3–18. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02279-1_2.
Texte intégralActes de conférences sur le sujet "Exploration interactive de données"
Joliveau, Thierry. « Voir le monde comme il paraît ou le rôle des visualisations réalistes dans la gestion territoriale ». Dans Paysages & valeurs : de la représentation à la simulation. Limoges : Université de Limoges, 2008. http://dx.doi.org/10.25965/as.3399.
Texte intégralAdjanor, Kangnikoé, Eric Lecolinet, Yves Guiard et Myriam Ribière. « Visualisation interactive de données temporelles ». Dans Conference Internationale Francophone sur I'Interaction Homme-Machine. New York, New York, USA : ACM Press, 2010. http://dx.doi.org/10.1145/1941007.1941021.
Texte intégralDa Costa, David, et Gilles Venturini. « Visualisation interactive de données avec des points d'intérêt ». Dans the 18th international conference. New York, New York, USA : ACM Press, 2006. http://dx.doi.org/10.1145/1132736.1132772.
Texte intégralJacquemin, Christian, Helka Folch et Sylvaine Nugier. « Exploration d'analyse de données textuelles et navigation contrôlée dans OCEAN ». Dans the 17th conference. New York, New York, USA : ACM Press, 2005. http://dx.doi.org/10.1145/1148550.1148554.
Texte intégralOtjacques, Benoît, Maël Cornil, Mickaël Stefas et Fernand Feltz. « Représentation visuelle interactive de l'importance subjective de critères de sélection de données ». Dans 23rd French Speaking Conference. New York, New York, USA : ACM Press, 2011. http://dx.doi.org/10.1145/2044354.2044368.
Texte intégralGupta, Megha, Thomas Ruhr, Michael Beetz et Gaurav S. Sukhatme. « Interactive environment exploration in clutter ». Dans 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6697118.
Texte intégralBampoulidis, Alexandras, Mihai Lupu, Joao Palotti, Sokratis Metallidis, Jon Brassey et Allan Hanbury. « Interactive exploration of healthcare queries ». Dans 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 2016. http://dx.doi.org/10.1109/cbmi.2016.7500275.
Texte intégralKamat, Niranjan, Prasanth Jayachandran, Karthik Tunga et Arnab Nandi. « Distributed and interactive cube exploration ». Dans 2014 IEEE 30th International Conference on Data Engineering (ICDE). IEEE, 2014. http://dx.doi.org/10.1109/icde.2014.6816674.
Texte intégralGroeller, Eduard. « Interactive exploration of dynamical systems ». Dans IS&T/SPIE's Symposium on Electronic Imaging : Science & Technology, sous la direction de Georges G. Grinstein et Robert F. Erbacher. SPIE, 1995. http://dx.doi.org/10.1117/12.205944.
Texte intégralRabenhorst, David A. « Interactive exploration of multidimensional data ». Dans IS&T/SPIE 1994 International Symposium on Electronic Imaging : Science and Technology, sous la direction de Bernice E. Rogowitz et Jan P. Allebach. SPIE, 1994. http://dx.doi.org/10.1117/12.172678.
Texte intégralRapports d'organisations sur le sujet "Exploration interactive de données"
Gayle, Thomas R., Kenneth Lee Summers, John Jungels et Fred J. Oppel III. Toward Interactive Scenario Analysis and Exploration. Office of Scientific and Technical Information (OSTI), janvier 2015. http://dx.doi.org/10.2172/1168945.
Texte intégralNédellec, Claire, Adeline Nazarenko, Francis André, Catherine Balivo, Béatrice Daille, Anastasia Drouot, Jorge Flores et al. Recommandations sur l’analyse automatique de documents : acquisition, gestion, exploration. Ministère de l'enseignement supérieur et de la recherche, septembre 2019. http://dx.doi.org/10.52949/10.
Texte intégralGarrett, R. G. IDEAS : an interactive computer graphics tool to assist the exploration geochemist. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1988. http://dx.doi.org/10.4095/122727.
Texte intégralRusu, Florin. Scalable and Energy-Efficient Methods for Interactive Exploration of Scientific Data. Office of Scientific and Technical Information (OSTI), mars 2022. http://dx.doi.org/10.2172/1846771.
Texte intégralMaddow-Zimet, Isaac, Kathryn Kost et Sean Finn. Pregnancies, Births and Abortions in the United States, 1973–2016 : National and State Trends by Age. Guttmacher Institute, octobre 2020. http://dx.doi.org/10.1363/2020.31952.
Texte intégralMcGee, Steven, Randi McGee-Tekula et Jennifer Duck. Does a Focus on Modeling and Explanation of Molecular Interactions Impact Student Learning and Identity ? The Learning Partnership, avril 2017. http://dx.doi.org/10.51420/conf.2017.1.
Texte intégralDécouverte et utilisation de JMP dans le cadre de l’exploration de données. Instats Inc., 2023. http://dx.doi.org/10.61700/vxv70rlkfb3ew469.
Texte intégralDécouverte et utilisation de JMP dans le cadre de l’exploration de données. Instats Inc., 2023. http://dx.doi.org/10.61700/ml7fynssqvqcy469.
Texte intégralExploration du rôle potentiel des pharmacies privées dans l’offre de services de planification familiale au Sénégal : analyse secondaire es données de ADEMAS. Population Council, 2018. http://dx.doi.org/10.31899/sbsr2018.1006.
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