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
Please accept [renew_consent]%cookie_types[/renew_consent] cookies to watch this video.