Advances in Intelligent Data Analysis VIII

8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings

  • Niall M. Adams
  • Céline Robardet
  • Arno Siebes
  • Jean-François Boulicaut
Conference proceedings IDA 2009

DOI: 10.1007/978-3-642-03915-7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5772)

Table of contents (35 papers)

  1. Front Matter
  2. Invited Papers

  3. Selected Contributions 1 (Long Talks)

    1. Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
      Tamraparni Dasu, Shankar Krishnan, Dongyu Lin, Suresh Venkatasubramanian, Kevin Yi
      Pages 21-34
    2. Exploiting Data Missingness in Bayesian Network Modeling
      Sérgio Rodrigues de Morais, Alex Aussem
      Pages 35-46
    3. How to Control Clustering Results? Flexible Clustering Aggregation
      Martin Hahmann, Peter B. Volk, Frank Rosenthal, Dirk Habich, Wolfgang Lehner
      Pages 59-70
    4. Context-Based Distance Learning for Categorical Data Clustering
      Dino Ienco, Ruggero G. Pensa, Rosa Meo
      Pages 83-94
    5. Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
      Manuel Martín-Merino, Javier De Las Rivas
      Pages 107-118
    6. Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
      Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
      Pages 119-130
    7. Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
      Costas Panagiotakis, Nikos Pelekis, Ioannis Kopanakis
      Pages 131-142
    8. Leveraging Call Center Logs for Customer Behavior Prediction
      Anju G. Parvathy, Bintu G. Vasudevan, Abhishek Kumar, Rajesh Balakrishnan
      Pages 143-154
    9. ART-Based Neural Networks for Multi-label Classification
      Elena P. Sapozhnikova
      Pages 167-177
    10. Two-Way Grouping by One-Way Topic Models
      Eerika Savia, Kai Puolamäki, Samuel Kaski
      Pages 178-189
    11. Incremental Bayesian Network Learning for Scalable Feature Selection
      Grégory Thibault, Alex Aussem, Stéphane Bonnevay
      Pages 202-212

About these proceedings

Keywords

bayesian networks bioinformatics calculus clustering computer architecture data streams database distance learning gene expression machine learning modeling optimization statistics time series clustering visualization

Editors and affiliations

  • Niall M. Adams
    • 1
  • Céline Robardet
    • 2
  • Arno Siebes
    • 3
  • Jean-François Boulicaut
    • 4
  1. 1.Department of MathematicsImperial College LondonLondonUnited Kingdom
  2. 2.INSA Lyon, LIRIS CNRS UMR 5205, Bâtiment Blaise PascalUniversity of LyonVilleurbanneFrance
  3. 3.Department of Information and Computer ScienceUniversiteit UtrechtUtrechtThe Netherlands
  4. 4.INSA-Lyon, LIRIS CNRS UMR5205University of LyonVilleurbanneFrance

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03914-0
  • Online ISBN 978-3-642-03915-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349