Post-actes EGC

• Premiers post-actes :
  Advances In Knowledge Discovery and Management (2010)
• Seconds post-actes :
  Advances In Knowledge Discovery and Management, Volume 2 (2012)

Seconds 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