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219 results on '"Melançon, Guy"'

2. Reducing Networks of Ethnographic Codes Co-occurrence in Anthropology

Author

Cottica, Alberto, Davidov, Veronica, Góralska, Magdalena, Kubik, Jan, Melançon, Guy, Mole, Richard, Szymański, Bruno Pinaud Wojciech, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Damşa, Crina, editor, and Barany, Amanda, editor

Published
2023
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4. The State of the Art in Multilayer Network Visualization

Author

Ghoniem, Mohammad, Mcgee, Fintan, Melançon, Guy, Otjacques, Benoit, and Pinaud, Bruno

Subjects
Computer Science - Social and Information Networks
Abstract

Modelling relationships between entities in real-world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently the concept of a multilayer network model has emerged from the field of complex systems. This model can be applied to a wide range of real-world datasets. Examples of multilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domain of graph visualization there are many systems which visualize datasets having many characteristics of multilayer graphs. This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those developing systems across application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer graph visualization, as well as tools, tasks, and analytic techniques from within application domains. This report also identifies the outstanding challenges for multilayer graph visualization and suggests future research directions for addressing them.

Published
2019

5. Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs

Author

Renoust, Benjamin, Ren, Haolin, and Melançon, Guy

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Social and Information Networks
Abstract

In this paper, we propose a new drag and drop interaction technique for graphs. We designed this interaction to support analysis in complex multidimensional and temporal graphs. The drag and drop interaction is enhanced with an intuitive and controllable animation, in support of comparison tasks., Comment: 2 pages, 1 figure

Published
2019

6. Visualization of Nodes and Relationships Across Layers

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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7. Conclusions

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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8. Interacting with and Analyzing Multilayer Networks

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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9. Evaluation of Multilayer Network Visualization Systems and Techniques

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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10. Task Taxonomy for Multilayer Networks

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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11. Attribute Visualization and Multilayer Networks

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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12. Introduction and Overview

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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13. The Layer as an Entity

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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14. Multilayer Networks Across Domains

Author

McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, von Landesberger, Tatiana, McGee, Fintan, Ghoniem, Mohammad, Otjacques, Benoît, Renoust, Benjamin, Archambault, Daniel, Kerren, Andreas, Pinaud, Bruno, Melançon, Guy, Pohl, Margit, and von Landesberger, Tatiana

Published
2021
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15. Handling Complex Multilayer Networks—An Approach Based on Visual Network Analytics

Author

Melançon, Guy, Renoust, Benjamin, Ren, Haolin, Abarbanel, Henry D. I., Series Editor, Braha, Dan, Series Editor, Érdi, Péter, Series Editor, Friston, Karl J., Series Editor, Haken, Hermann, Series Editor, Jirsa, Viktor, Series Editor, Kacprzyk, Janusz, Series Editor, Kaneko, Kunihiko, Series Editor, Kelso, Scott, Founding Editor, Kirkilionis, Markus, Series Editor, Kurths, Jürgen, Series Editor, Menezes, Ronaldo, Series Editor, Nowak, Andrzej, Series Editor, Qudrat-Ullah, Hassan, Series Editor, Reichl, Linda, Series Editor, Schuster, Peter, Series Editor, Schweitzer, Frank, Series Editor, Sornette, Didier, Series Editor, Thurner, Stefan, Series Editor, Sajous, Patricia, editor, and Bertelle, Cyrille, editor

Published
2021
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16. Semantic Social Networks: A Mixed Methods Approach to Digital Ethnography

Author

Cottica, Alberto, Hassoun, Amelia, Manca, Marco, Vallet, Jason, and Melançon, Guy

Abstract

We propose a mixed methods approach to digital ethnographic research. Treating online conversational environments as communities that ethnographers engage with as in traditional fieldwork, we represent those conversations and the codes made by researchers thereon in network form. We call these networks "semantic social networks" (SSNs), as they incorporate information on social interaction and their meaning as perceived by informants as a group and use methods from network science to visualize these ethnographic data. We present an application of this method to a large online conversation about community provision of health and social care and discuss its potential for mobilizing collective intelligence.

Published
2020
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18. On Varying Topology of Complex Networks and Performance Limitations of Community Detection Algorithms

Author

Pasta, Muhammad Qasim, Zaidi, Faraz, and Melançon, Guy

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

One of the most widely studied problem in mining and analysis of complex networks is the detection of community structures. The problem has been extensively studied by researchers due to its high utility and numerous applications in various domains. Many algorithmic solutions have been proposed for the community detection problem but the quest to find the best algorithm is still on. More often than not, researchers focus on developing fast and accurate algorithms that can be generically applied to networks from a variety of domains without taking into consideration the structural and topological variations in these networks. In this paper, we evaluate the performance of different clustering algorithms as a function of varying network topology. Along with the well known LFR model to generate benchmark networks with communities,we also propose a new model named Naive Scale Free Model to study the behavior of community detection algorithms with respect to different topological features. More specifically, we are interested in the size of networks, the size of community structures, the average connectivity of nodes and the ratio of inter-intra cluster edges. Results reveal several limitations of the current popular network clustering algorithms failing to correctly find communities. This suggests the need to revisit the design of current clustering algorithms that fail to incorporate varying topological features of different networks., Comment: 20 pages and 9 figures

Published
2016

20. A Visual Analytics Approach to Compare Propagation Models in Social Networks

Author

Vallet, Jason, Kirchner, Hélène, Pinaud, Bruno, and Melançon, Guy

Subjects
Computer Science - Social and Information Networks, Computer Science - Logic in Computer Science
Abstract

Numerous propagation models describing social influence in social networks can be found in the literature. This makes the choice of an appropriate model in a given situation difficult. Selecting the most relevant model requires the ability to objectively compare them. This comparison can only be made at the cost of describing models based on a common formalism and yet independent from them. We propose to use graph rewriting to formally describe propagation mechanisms as local transformation rules applied according to a strategy. This approach makes sense when it is supported by a visual analytics framework dedicated to graph rewriting. The paper first presents our methodology to describe some propagation models as a graph rewriting problem. Then, we illustrate how our visual analytics framework allows to interactively manipulate models, and underline their differences based on measures computed on simulation traces., Comment: In Proceedings GaM 2015, arXiv:1504.02448

Published
2015
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22. Interact: A visual what-if analysis tool for virtual product design.

Author

Ciorna, Vasile, Melançon, Guy, Petry, Frank, and Ghoniem, Mohammad

Subjects
VIRTUAL design, PRODUCT design, MACHINE learning, VIRTUAL prototypes, DATA visualization, TIRE industry, NEW product development
Abstract

Virtual prototyping is increasingly used by businesses to streamline operations, cut costs, and enhance daily operations. This often includes a variety of modeling techniques among which, complex, black-box models. The path from model development to utilization in applied contexts is yet long. Domain experts need to be convinced of the validity of the models and to trust their predictions. To be used in the field, model capabilities need to be affordable, that is, allow rapid and interactive scenario building, even for non-experts. Complex relations governed by statistical interactions must be unveiled for users to understand unexpected predictions. We propose Interact, a model-agnostic, visual what-if tool for regression problems, supporting (1) the visualization of statistical interactions between features, (2) the creation of interactive what-if scenarios using predictive models, (3) the evaluation of model quality and building trust, and (4) the externalization of knowledge through model explainability. While the approach applies in various industrial contexts, we validate the application purpose and design with a detailed case study and a qualitative user study with engineers in the tire industry. By unraveling statistical interactions between features, the INTERACT tool proves to be useful to increase the transparency of black-box machine learning models. We also reflect on lessons learned concerning the development of visual what-if tools for virtual product development and beyond. [ABSTRACT FROM AUTHOR]

Published
2024
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23. The Layer as an Entity

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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24. Visualization of Nodes and Relationships Across Layers

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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25. Attribute Visualization and Multilayer Networks

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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27. Introduction and Overview

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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28. Task Taxonomy for Multilayer Networks

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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29. Interacting with and Analyzing Multilayer Networks

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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30. Visual Analysis of Multilayer Networks

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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31. Multilayer Networks Across Domains

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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32. Conclusions

Author

McGee, Fintan, primary, Ghoniem, Mohammad, additional, Otjacques, Benoît, additional, Renoust, Benjamin, additional, Archambault, Daniel, additional, Kerren, Andreas, additional, Pinaud, Bruno, additional, Melançon, Guy, additional, Pohl, Margit, additional, and von Landesberger, Tatiana, additional

Published
2021
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33. Tulip 5

Author

Auber, David, Archambault, Daniel, Bourqui, Romain, Delest, Maylis, Dubois, Jonathan, Lambert, Antoine, Mary, Patrick, Mathiaut, Morgan, Melançon, Guy, Pinaud, Bruno, Renoust, Benjamin, Vallet, Jason, Batagelj, Vladimir, Section Editor, Alhajj, Reda, editor, and Rokne, Jon, editor

Published
2018
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35. PORGY: Strategy-Driven Interactive Transformation of Graphs

Author

Andrei, Oana, Fernández, Maribel, Kirchner, Hélène, Melançon, Guy, Namet, Olivier, and Pinaud, Bruno

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Software Engineering
Abstract

This paper investigates the use of graph rewriting systems as a modelling tool, and advocates the embedding of such systems in an interactive environment. One important application domain is the modelling of biochemical systems, where states are represented by port graphs and the dynamics is driven by rules and strategies. A graph rewriting tool's capability to interactively explore the features of the rewriting system provides useful insights into possible behaviours of the model and its properties. We describe PORGY, a visual and interactive tool we have developed to model complex systems using port graphs and port graph rewrite rules guided by strategies, and to navigate in the derivation history. We demonstrate via examples some functionalities provided by PORGY., Comment: In Proceedings TERMGRAPH 2011, arXiv:1102.2268

Published
2011
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37. Semantic Social Networks: A New Approach to Scaling Digital Ethnography

Author

Cottica, Alberto, Hassoun, Amelia, Vallet, Jason, Melançon, Guy, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kompatsiaris, Ioannis, editor, Cave, Jonathan, editor, Satsiou, Anna, editor, Carle, Georg, editor, Passani, Antonella, editor, Kontopoulos, Efstratios, editor, Diplaris, Sotiris, editor, and McMillan, Donald, editor

Published
2017
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38. Generating connected acyclic digraphs uniformly at random

Author

Melancon, Guy and Philippe, Fabrice

Subjects
Computer Science - Discrete Mathematics, Computer Science - Data Structures and Algorithms, F.2.2, G.2.2, G.3
Abstract

We describe a simple algorithm based on a Markov chain process to generate simply connected acyclic directed graphs over a fixed set of vertices. This algorithm is an extension of a previous one, designed to generate acyclic digraphs, non necessarily connected., Comment: 6 pages

Published
2004

42. Introduction

Author

Rozenblat, Céline, Melançon, Guy, Rozenblat, Céline, editor, and Melançon, Guy, editor

Published
2013
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43. Diversity and Inclusion Activities in EGC - A 2022 Report

Author

Amer-Yahia, Sihem, Bonifati, Angela, Favre, Cécile, Fromont, Elisa, Labroche, Nicolas, Melançon, Guy, Sèdes, Florence, Soulet, Arnaud, Termier, Alexandre, Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Base de Données (BD), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Entrepôts, Représentation et Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Large Scale Collaborative Data Mining (LACODAM), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), and Université de Toulouse (UT)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Geography, Planning and Development, General Earth and Planetary Sciences, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Water Science and Technology
Abstract

International audience; EGC ("Extraction et Gestion des Connaissances"1 in French) started in 2001 and is the reference conference for the french community in Knowledge Extraction and Management (equivalent to the French KDD).

Published
2022

45. Tulip III

Author

Auber, David, Archambault, Daniel, Bourqui, Romain, Delest, Maylis, Dubois, Jonathan, Pinaud, Bruno, Lambert, Antoine, Mary, Patrick, Mathiaut, Morgan, Melancon, Guy, Alhajj, Reda, editor, and Rokne, Jon, editor

Published
2014
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47. Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths

Author

Zaidi, Faraz, Archambault, Daniel, Melançon, Guy, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, and Perner, Petra, editor

Published
2010
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48. Visual Analytics: Definition, Process, and Challenges

Author

Keim, Daniel, Andrienko, Gennady, Fekete, Jean-Daniel, Görg, Carsten, Kohlhammer, Jörn, Melançon, Guy, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kerren, Andreas, editor, Stasko, John T., editor, Fekete, Jean-Daniel, editor, and North, Chris, editor

Published
2008
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50. Tulip 5

Author

Auber, David, primary, Archambault, Daniel, additional, Bourqui, Romain, additional, Delest, Maylis, additional, Dubois, Jonathan, additional, Lambert, Antoine, additional, Mary, Patrick, additional, Mathiaut, Morgan, additional, Melançon, Guy, additional, Pinaud, Bruno, additional, Renoust, Benjamin, additional, and Vallet, Jason, additional

Published
2017
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