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  • Conference proceedings
  • © 2009

Advances in Intelligent Data Analysis VIII

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

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Conference series link(s): IDA: International Symposium on Intelligent Data Analysis

Conference proceedings info: IDA 2009.

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Table of contents (35 papers)

  1. Front Matter

  2. Invited Papers

    1. Intelligent Data Analysis in the 21st Century

      • Paul Cohen, Niall Adams
      Pages 1-9
  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

Other Volumes

  1. Advances in Intelligent Data Analysis VIII

Keywords

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

Editors and Affiliations

  • Department of Mathematics, Imperial College London, London, United Kingdom

    Niall M. Adams

  • INSA Lyon, LIRIS CNRS UMR 5205, Bâtiment Blaise Pascal, University of Lyon, Villeurbanne, France

    Céline Robardet

  • Department of Information and Computer Science, Universiteit Utrecht, Utrecht, The Netherlands

    Arno Siebes

  • INSA-Lyon, LIRIS CNRS UMR5205, University of Lyon, Villeurbanne, France

    Jean-François Boulicaut

Bibliographic Information

Buying options

eBook USD 39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions