Auteur/autrice : Jérôme David

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.

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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