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Advances in Intelligent Data Analysis VIII

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

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Niall M. Adams

    1. Department of Mathematics, Imperial College London, London, United Kingdom

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  2. Céline Robardet

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

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  3. Arno Siebes

    1. Department of Information and Computer Science, Universiteit Utrecht, Utrecht, The Netherlands

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  4. Jean-François Boulicaut

    1. INSA-Lyon, LIRIS CNRS UMR5205, University of Lyon, Villeurbanne, France

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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)

Included in the following conference series:

Conference proceedings info: IDA 2009.

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Table of contents (35 papers)

  1. Selected Contributions 1 (Long Talks)

    1. Zero-Inflated Boosted Ensembles for Rare Event Counts

      • Alexander Borisov, George Runger, Eugene Tuv, Nuttha Lurponglukana-Strand
      Pages 225-236

  2. Selected Contributions 2 (Short Talks)

    1. Mining the Temporal Dimension of the Information Propagation

      • Michele Berlingerio, Michele Coscia, Fosca Giannotti
      Pages 237-248

    2. Adaptive Learning from Evolving Data Streams

      • Albert Bifet, Ricard Gavaldà
      Pages 249-260

    3. An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset

      • James Cain, Steve Counsell, Stephen Swift, Allan Tucker
      Pages 261-272

    4. Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?

      • Alpha Diallo, Ahlame Douzal-Chouakria, Francoise Giroud
      Pages 273-284

    5. Ontology-Driven KDD Process Composition

      • Claudia Diamantini, Domenico Potena, Emanuele Storti
      Pages 285-296

    6. Mining Frequent Gradual Itemsets from Large Databases

      • Lisa Di-Jorio, Anne Laurent, Maguelonne Teisseire
      Pages 297-308

    7. Selecting Computer Architectures by Means of Control-Flow-Graph Mining

      • Frank Eichinger, Klemens Böhm
      Pages 309-320

    8. Visualization-Driven Structural and Statistical Analysis of Turbulent Flows

      • Kenny Gruchalla, Mark Rast, Elizabeth Bradley, John Clyne, Pablo Mininni
      Pages 321-332

    9. Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework

      • Petr Krajca, Vilem Vychodil
      Pages 333-344

    10. Multi-Optimisation Consensus Clustering

      • Jian Li, Stephen Swift, Xiaohui Liu
      Pages 345-356

    11. Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences

      • Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
      Pages 357-368

    12. Measure of Similarity and Compactness in Competitive Space

      • Nikolay Zagoruiko
      Pages 369-380

    13. Bayesian Solutions to the Label Switching Problem

      • Kai Puolamäki, Samuel Kaski
      Pages 381-392

    14. Efficient Vertical Mining of Frequent Closures and Generators

      • Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin
      Pages 393-404

    15. Isotonic Classification Trees

      • Rémon van de Kamp, Ad Feelders, Nicola Barile
      Pages 405-416

  3. Back Matter

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  1. Advances in Intelligent Data Analysis VIII

Keywords

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

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