Advances in Intelligent Data Analysis XI

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

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.

• data streams
• evolutionary programming
• genetic algorithms
• spatio-temporal pattern
• time-series prediction
• algorithm analysis and problem complexity

• 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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