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Advances in Intelligent Data Analysis XII

12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Allan Tucker

    1. School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK

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  2. Frank Höppner

    1. Faculty of Computer Science/IT, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

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  3. Arno Siebes

    1. Faculty of Science, Department of Information and Computing Science, Buys Ballot Laboratory, Universiteit Utrecht, Utrecht, The Netherlands

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  4. Stephen Swift

    1. School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8207)

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 2013.

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Table of contents (39 papers)

  1. Front Matter

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  3. Selected Contributions

    1. Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures

      • Nada Abidi, Frank Klawonn, Jörg Oliver Thumfart
      Pages 32-43

    2. Detecting Events in Molecular Dynamics Simulations

      • Iris Adä, Michael R. Berthold
      Pages 44-55

    3. Graph Clustering by Maximizing Statistical Association Measures

      • Julien Ah-Pine
      Pages 56-67

    4. Evaluation of Association Rule Quality Measures through Feature Extraction

      • José L. Balcázar, Francis Dogbey
      Pages 68-79

    5. Towards Comprehensive Concept Description Based on Association Rules

      • Petr Berka
      Pages 80-91

    6. CD-MOA: Change Detection Framework for Massive Online Analysis

      • Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indrė Žliobaitė
      Pages 92-103

    7. Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks

      • Valeria Bo, Artem Lysenko, Mansoor Saqi, Dimah Habash, Allan Tucker
      Pages 104-115

    8. Finding Frequent Patterns in Parallel Point Processes

      • Christian Borgelt, David Picado-Muiño
      Pages 116-126

    9. Behavioral Clustering for Point Processes

      • Christian Braune, Christian Borgelt, Rudolf Kruse
      Pages 127-137

    10. Estimating Prediction Certainty in Decision Trees

      • Eduardo P. Costa, Sicco Verwer, Hendrik Blockeel
      Pages 138-149

    11. Interactive Discovery of Interesting Subgroup Sets

      • Vladimir Dzyuba, Matthijs van Leeuwen
      Pages 150-161

    12. Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation

      • Emil Eirola, Amaury Lendasse
      Pages 162-173

    13. When Does Active Learning Work?

      • Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
      Pages 174-185

    14. OrderSpan: Mining Closed Partially Ordered Patterns

      • Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire
      Pages 186-197

    15. Learning Multiple Temporal Matching for Time Series Classification

      • Cedric Frambourg, Ahlame Douzal-Chouakria, Eric Gaussier
      Pages 198-209

    16. On the Importance of Nonlinear Modeling in Computer Performance Prediction

      • Joshua Garland, Elizabeth Bradley
      Pages 210-222
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  1. Advances in Intelligent Data Analysis XII

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About this book

This book constitutes the refereed conference proceedings of the 12th International Conference on Intelligent Data Analysis, which was held in October 2013 in London, UK. The 36 revised full papers together with 3 invited papers were carefully reviewed and selected from 84 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

Editors and Affiliations

  • School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK

    Allan Tucker, Stephen Swift

  • Faculty of Computer Science/IT, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Höppner

  • Faculty of Science, Department of Information and Computing Science, Buys Ballot Laboratory, Universiteit Utrecht, Utrecht, The Netherlands

    Arno Siebes

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