Advances in Intelligent Data Analysis X

1. Front Matter

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2. Invited Papers

   1. Bisociative Knowledge Discovery

      • Michael R. Berthold

      Pages 1-7

   2. Computational Sustainability

      • Carla P. Gomes

      Pages 8-8

   3. Intelligent Data Analysis: Keeping Pace with Technological Advances

      • Xiaohui Liu

      Pages 9-9

3. Selected Contributions

   1. Comparative Analysis of Power Consumption in University Buildings Using envSOM

      • Serafín Alonso, Manuel Domínguez, Miguel Angel Prada, Mika Sulkava, Jaakko Hollmén

      Pages 10-21

   2. Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices

      • João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas

      Pages 22-33

   3. Intra-Firm Information Flow: A Content-Structure Perspective

      • Yakir Berchenko, Or Daliot, Nir N. Brueller

      Pages 34-42

   4. Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions

      • Christian Borgelt, Tobias Kötter

      Pages 43-54

   5. Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing

      • Christian Braune, Christian Borgelt, Sonja Grün

      Pages 55-66

   6. Towards Automatic Pathway Generation from Biological Full-Text Publications

      • Ekaterina Buyko, Jörg Linde, Steffen Priebe, Udo Hahn

      Pages 67-79

   7. Online Writing Data Representation: A Graph Theory Approach

      • Gilles Caporossi, Christophe Leblay

      Pages 80-89

   8. Online Evaluation of Email Streaming Classifiers Using GNUsmail

      • José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales-Bueno

      Pages 90-100

   9. The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process

      • Stefano Ceccon, David Garway-Heath, David Crabb, Allan Tucker

      Pages 101-112

   10. Mining Train Delays

       • Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven

       Pages 113-124

   11. Robustness of Change Detection Algorithms

       • Tamraparni Dasu, Shankar Krishnan, Gina Maria Pomann

       Pages 125-137

   12. GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service

       • Jeroen De Knijf, Anthony Liekens, Bart Goethals

       Pages 138-149

   13. Resampling-Based Change Point Estimation

       • Jelena Fiosina, Maksims Fiosins

       Pages 150-161

   14. Learning about the Learning Process

       • João Gama, Petr Kosina

       Pages 162-172

   15. Predicting Computer Performance Dynamics

       • Joshua Garland, Elizabeth Bradley

       Pages 173-184

   16. Prototype-Based Classification of Dissimilarity Data

       • Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu

       Pages 185-197

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.

• bioimage informatics
• genetic algorithm
• life science
• social network analysis
• ubiquitous knowledge discovery
• algorithm analysis and problem complexity

• Faculty of Economics, LIAAD-INESC Porto, L.A., University of Porto, Porto, Portugal

  João Gama

• Department of Computer Science, University of Colorado, Boulder, USA

  Elizabeth Bradley

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

  Jaakko Hollmén

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