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Advances in Intelligent Data Analysis XI

11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jaakko Hollmén

    1. Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland

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  2. Frank Klawonn

    1. Department of Computer Science, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

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  3. Allan Tucker

    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 7619)

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

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Conference proceedings info: IDA 2012.

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Table of contents (38 papers)

  1. Front Matter

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  2. Invited Papers

    1. Over-Fitting in Model Selection and Its Avoidance

      • Gavin C. Cawley
      Pages 1-1

    2. Intelligent Data Analysis of Human Genetic Data

      • Paola Sebastiani
      Pages 2-6

    3. Queries for Data Analysis

      • Arno Siebes
      Pages 7-22

  3. Selected Contributions

    1. Parallel Data Mining Revisited. Better, Not Faster

      • Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold
      Pages 23-34

    2. Weighting Features for Partition around Medoids Using the Minkowski Metric

      • Renato Cordeiro de Amorim, Trevor Fenner
      Pages 35-44

    3. On Initializations for the Minkowski Weighted K-Means

      • Renato Cordeiro de Amorim, Peter Komisarczuk
      Pages 45-55

    4. A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data

      • Maurice Berk, Giovanni Montana
      Pages 56-66

    5. Methodological Foundation for Sign Language 3D Motion Trajectory Analysis

      • Mehrez Boulares, Mohamed Jemni
      Pages 67-77

    6. Assembly Detection in Continuous Neural Spike Train Data

      • Christian Braune, Christian Borgelt, Sonja Grün
      Pages 78-89

    7. Online Techniques for Dealing with Concept Drift in Process Mining

      • Josep Carmona, Ricard Gavaldà
      Pages 90-102

    8. An Evolutionary Based Clustering Algorithm Applied to Dada Compression for Industrial Systems

      • Jun Chen, Mahdi Mahfouf, Chris Bingham, Yu Zhang, Zhijing Yang, Michael Gallimore
      Pages 103-113

    9. Multi-label LeGo — Enhancing Multi-label Classifiers with Local Patterns

      • Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno Knobbe
      Pages 114-125

    10. Discriminative Dimensionality Reduction Mappings

      • Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
      Pages 126-138

    11. Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules

      • Alípio M. Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo
      Pages 139-149

    12. Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation

      • Frank Klawonn, Nada Abidi, Evelin Berger, Lothar Jänsch
      Pages 150-160

    13. Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent Pattern Sets

      • Kleanthis-Nikolaos Kontonasios, Tijl DeBie
      Pages 161-171

    14. MCut: A Thresholding Strategy for Multi-label Classification

      • Christine Largeron, Christophe Moulin, Mathias Géry
      Pages 172-183

    15. Improving Tag Recommendation Using Few Associations

      • Matthijs van Leeuwen, Diyah Puspitaningrum
      Pages 184-194

    16. Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models

      • Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, Timo Honkela
      Pages 195-206
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Other volumes

  1. Advances in Intelligent Data Analysis XI

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About this book

This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Analysis, IDA 2012, held in Helsinki, Finland, in October 2012. The 32 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 88 submissions. All current aspects of intelligent data analysis are addressed, including intelligent support for modeling and analyzing data from complex, dynamical systems. The papers focus on novel applications of IDA techniques to, e.g., networked digital information systems; novel modes of data acquisition and the associated issues; robustness and scalability issues of intelligent data analysis techniques; and visualization and dissemination results.

Editors and Affiliations

  • Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland

    Jaakko Hollmén

  • Department of Computer Science, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Klawonn

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

    Allan Tucker

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