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EGC | Post-actes d'EGC

Post-actes EGC

  • Premiers post-actes :
    Advances In Knowledge Discovery and Management (2010)
  • Deuxièmes post-actes :
    Advances In Knowledge Discovery and Management, Volume 2 (2012)
  • Troisièmes post-actes :
    Advances In Knowledge Discovery and Management, Volume 3 (2013)
  • Quatrièmes post-actes :
    Advances In Knowledge Discovery and Management, Volume 4 (2014)

Quatrièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 4 »,
Series: Studies in Computational Intelligence,
Vol. 527, 2014, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-319-02999-3.

About this book

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC societ (EGC in French stands for “Extraction et Gestion des Connaissances” and means “Knowledge Discovery and Management”, or KDM).

Structure of the Book

This book is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called “Knowledge Discovery and Data Mining” and “Classification and Feature Extraction or Selection”. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection.

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Knowledge Discovery and Data Mining

  • François Queyroi:
    Optimizing a Hierarchical Community Structure of a Complex Network. 3-14
  • Marc Boullé, Romain Guigourès, Fabrice Rossi:
    Nonparametric Hierarchical Clustering of Functional Data. 15-35
  • Francisco de A.T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo:
    Multi-view Clustering on Relational Data. 37-51
  • Asma Ben Zakour, Sofian Maabout, Mohamed Mosbah, Marc Sistiaga:
    Relaxing Time Granularity for Mining Frequent Sequences. 53-76
  • Rim Faiz, Maha Amami, Aymen Elkhlifi:
    Semantic Event Extraction from Biological Texts Using a Kernel-Based Method. 77-94
  • Dhafer Lahbib, Marc Boullé, Dominique Laurent:
    Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining. 95-109

Part II — Classification and Feature Extraction or Selection

  • Hassan Chouaib, Florence Cloppet, Nicole Vincent:
    Combination of Single Feature Classifiers for Fast Feature Selection. 113-131
  • Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba:
    Classification of EEG Signals by an Evolutionary Algorithm. 133-153
  • Thanh-Nghi Doan, François Poulet:
    Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training. 155-172

Troisièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 3 »,
Series: Studies in Computational Intelligence,
Vol. 471, 2013, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-642-35855-5.

Cliquez ici pour télécharger la préface et la table des matières »

About this book

The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC’2011 Conference held in Brest, France, on January 2011. These 10 best papers have been selected from the 34 papers accepted in long format at the conference. These 34 long papers were themselves the result of a peer and blind review process among the 131 papers initially submitted to the conference in 2011 (acceptance rate of 26% for long papers). This conference was the 11th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the International French-speaking EGC society (EGC in French stands for “Extraction et Gestion des Connaissances” and means “Knowledge Discovery and Management”, or KDM).
This society organizes every year its main conference (about 200 attendees) but also workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry or public organizations. For more details about the EGC society, please consult http://www.egc.asso.fr.

Structure of the Book

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. It is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM.
This book has been structured in two parts. The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches and with OLAP. Three chapters study rule and pattern mining and concern binary data sets, sequences, and association rules. Chapters related to topological approaches study different distance measures and a new method that learns a hierarchical topological map. Finally, one chapter deals with OLAP and studies the mining of queries logs.
The second part of the book, entitled “Ontology and Semantic”, is more related to knowledge-based and user-centered approaches in KDM. One chapter deals with the enrichment of folksonomies and the three other chapters deal with ontologies.

Written for:

Engineers, researchers, and graduate students in computer science

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Data Mining, Classification and Queries

  • Dominique Gay, Marc Boullé: A Bayesian Criterion for Evaluating the Robustness of Classification Rules in Binary Data Sets. 3-22
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet: Mining Sequential Patterns: A Context-Aware Approach. 23-42
  • Djamel Abdelkader Zighed, Rafik Abdesselam, Ahmed Bounekkar: Comparison of Proximity Measures: A Topological Approach. 43-58
  • Israël César Lerman, Sylvie Guillaume: Comparing Two Discriminant Probabilistic Interestingness Measures for Association Rules. 59-84
  • Hanane Azzag, Mustapha Lebbah: A New Way for Hierarchical and Topological Clustering. 85-98
  • Julien Aligon, Patrick Marcel, Elsa Negre: Summarizing and Querying Logs of OLAP Queries. 99-124

Part II — Ontology and Semantic

  • Freddy Limpens, Fabien Gandon, Michel Buffa: A Complete Life-Cycle for the Semantic Enrichment of Folksonomies. 127-150
  • Ammar Mechouche, Nathalie Abadie, Emeric Prouteau, Sébastien Mustière: Ontology-Based Formal Specifications for User-Friendly Geospatial Data Discovery. 151-176
  • Toader Gherasim, Mounira Harzallah, Giuseppe Berio, Pascale Kuntz: Methods and Tools for Automatic Construction of Ontologies from Textual Resources: A Framework for Comparison and Its Application. 177-201
  • Lionel Chauvin, David Genest, Aymeric Le Dorze, Stéphane Loiseau: User Centered Cognitive Maps. 203-220

Deuxièmes post-actes

Fabrice Guillet, Gilbert Ritschard and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 2 »,
Series: Studies in Computational Intelligence,
Volume 398, 2012, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-642-25838-1.

L'ouvrage est accessible en édition électronique sur Springer Link.

Cliquez ici pour télécharger la préface et la table des matières »

Cliquez ici pour télécharger la fiche produit du livre »

About this book

During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web.
The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010.
The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval.

Written for:

Engineers, researchers, and graduate students in computer science

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Data Cube and Ontology-based representations

  • Rosine Cicchetti, Lotfi Lakhal, and Sébastien Nedjar: Constrained Closed and Quotient Cubes. 3-26
  • Hanen Brahmi, Tarek Hamrouni, Riadh Ben Messaoud, and Sadok Ben Yahia: A New Concise and Exact Representation of Data Cubes. 27-48
  • Michel Buffa and Catherine Faron-Zucker: Ontology-Based Access Rights Management. 49-62
  • Souhir Gahbiche, Nathalie Pernelle, and Fatiha Saïs: Explaining Reference Reconciliation Decisions: a Coloured Petri Nets based approach. 63-84

Part II — Efficient Pattern Mining

  • Mehdi Khiari, Patrice Boizumault, and Bruno Crémilleux: Combining Constraint Programming and Constraint-based Mining for Pattern Discovery. 85-104
  • Marc Boullé: Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes. 105-120
  • Lionel Martin, Matthieu Exbrayat, Guillaume Cleuziou, and Frédéric Moal: Interactive and progressive constraint definition for dimensionality reduction and visualization. 121-138
  • Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, and Alexandre Termier: Efficient parallel mining of gradual patterns on multicore processors. 139-156

Part III — Data Preprocessing and Information Retrieval

  • Mickael Coustaty, Vincent Courboulay, and Jean-Marc Ogier: Analyzing Old Documents Using a Complex Approach: application to lettrines indexing. 157-174
  • Marc Joliveau: Identifying relevant features of images from their 2-D topology. 175-192
  • Radja Messai and Michel Simonet and Nathalie Bricon-Souf and Mireille Mousseau: Analyzing Health Consumer Terminology for Query Reformulation Tasks. 193-214
  • Patrick Bosc, Allel Hadjali, Olivier Pivert, and Grégory Smits: An approach based on predicate correlation to the reduction of plethoric answer sets. 215-236

Premiers post-actes

Fabrice Guillet, Gilbert Ritschard, Djamel Abdelkader Zighed and Henri Briand (eds),
« Advances In Knowledge Discovery and Management »,
Series: Studies in Computational Intelligence,
Vol. 292, 2010, Springer.
ISBN: 978-3-642-00579-4, DOI: 10.1007/978-3-642-00580-0.

L'ouvrage est accessible en édition électronique sur Springer Link. Et il est également indexé par DBLP.

Cliquez ici pour télécharger la préface et la table des matières »

Cliquez ici pour télécharger la fiche produit du livre »

Table des matières

Part I: Supervised Learning and Information Retrieval

  • Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, Nicolas S. Müller: Discrepancy Analysis of Complex Objects Using Dissimilarities. 3-19
  • Nicolas Voisine, Marc Boullé, Carine Hue: A Bayes Evaluation Criterion for Decision Trees. 21-38
  • Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham: Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees. 39-55
  • Nguyen-Khang Pham, Annie Morin, Patrick Gros, Quyet-Thang Le: Intensive Use of Correspondence Analysis for Large Scale Content-Based Image Retrieval. 57-76
  • Emanuel Aldea, Isabelle Bloch: Toward a Better Integration of Spatial Relations in Learning with Graphical Models. 77-94

Part II: Unsupervised Learning

  • Gilles Hubert, Olivier Teste: Multigranular Manipulations for OLAP Querying. 97-112
  • Sébastien Lefèvre: A New Approach for Unsupervised Classification in Image Segmentation. 113-131
  • Nistor Grozavu, Younès Bennani, Mustapha Lebbah: Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. 133-147
  • Guillaume Cleuziou: Two Variants of the OKM for Overlapping Clustering. 149-166
  • Romain Bourqui, Paolo Simonetto, Fabien Jourdan: A Stable Decomposition Algorithm for Dynamic Social Network Analysis. 167-178

Part III: Security and Data Streaming

  • Nesrine Gabsi, Fabrice Clérot, Georges Hébrail: An Hybrid Data Stream Summarizing Approach by Sampling and Clustering. 181-200
  • Lionel Vinceslas, Jean-Emile Symphor, Alban Mancheron, Pascal Poncelet: SPAMS: A Novel Incremental Approach for Sequential Pattern Mining in Data Streams. 201-216
  • Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet: Mining Common Outliers for Intrusion Detection. 217-234
  • Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia: Intrusion Detections in Collaborative Organizations by Preserving Privacy. 235-247

Part IV: Ontologies and Semantic

  • Fayçal Hamdi, Brigitte Safar, Chantal Reynaud, Haïfa Zargayouna: Alignment-Based Partitioning of Large-Scale Ontologies. 251-269
  • Farid Cerbah: Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases. 271-286
  • Alina Dia Miron, Jérôme Gensel, Marlène Villanova-Oliver: Semantic Analysis for the Geospatial Semantic Web. 287-306
  • Alain Lelu, Martine Cadot: Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection. 307-324


Nouveauté (11/05/2012) : message de Springer


Springer: Your eBook downloads

Your eBook downloads

Visit us at springer.com




Dear Dr. Fabrice Guillet,



You are surely aware that your book Advances in Knowledge Discovery and Management is published in both print and electronic formats.Today, we would like to update you on the chapter downloads of your eBook on SpringerLink, Springer's online platform.

Since its online publication on Jun 11, 2010, Advances in Knowledge Discovery and Management has received a total of 1136 chapter download requests. Over the last year(s) the download figures have been as follows:


Year Usage
2011 791
2010 345

As you can see, in addition to the print book, the electronic version offers a broad readership and increased visibility for your work. This is especially noticeable in the long run: statistical data shows that the usage of electronic publications will continue to be stable for years.

For more information on the different book formats and your benefits of publishing with Springer, please click here.

Thank you again for publishing with us. We are very pleased to disseminate your book among the scientific community and look forward to working with you on your next book or journal article.


Best regards,


Your Springer Marketing Team



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Pour cette troisième édition du défi (2018), le Laboratoire d’Énergétique, d’Électronique et Procédés (LE2P) et le Laboratoire d’Informatique et de Mathématiques (LIM) de l’Université de La Réunion vous proposent d’analyser des données de flux/rayonnements solaires à l’Île de La Réunion.
Le prix est doté de 1500 euros et d'un voyage sous le soleil de la Réunion !
La 16ème conférence internationale sur l'extraction et la gestion des connaissances (EGC 2016), se tiendra à Reims (France) du 18 au 22 janvier 2016.
Le site consacré à cet événement vient désormais d'ouvrir à l'adresse suivante : http://egc2016.univ-reims.fr/
La 15ème conférence internationale sur l'extraction et la gestion des connaissances (EGC 2015), se tiendra au Luxembourg du 28 au 30 janvier 2015.
Le site consacré à cet événement vient désormais d'ouvrir à l'adresse suivante : http://egc2015.lippmann.lu
Les éditions Springer, qui publient les post-actes internationaux EGC, ont fait part du succès rencontré par la publication du titre Advances in Knowledge Discovery and Management regroupant une sélection des meilleurs articles présentés lors des dernières éditions des conférences EGC.
À l'initiative du ministère de l'Enseignement supérieur et de la Recherche, l'Agence Nationale de la Recherche met en place un espace dédié aux rencontres entre les besoins des entreprises en matière de recherche & développement et l'offre de compétences des laboratoires publics.
Osmar Zaiane, de l'Université d'Alberta (Canada), propose une classification internationale régulièrement mise à jour des conférences en fouille de données sur son site.
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