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Discovery Science

13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, Proceedings

  • Conference proceedings
  • © 2010

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Editors:
  1. Bernhard Pfahringer

    1. Department of Computer Science, University of Waikato, Hamilton, New Zealand

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  2. Geoff Holmes

    1. Department of Computer Science, The University of Waikato, Hamilton, New Zealand

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    You can also search for this editor in PubMed   Google Scholar

  3. Achim Hoffmann

    1. School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6332)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: DS 2010.

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Table of contents (30 papers)

  1. Front Matter

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  2. Sentiment Knowledge Discovery in Twitter Streaming Data

    • Albert Bifet, Eibe Frank
    Pages 1-15

  3. A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation

    • Artur Aiguzhinov, Carlos Soares, Ana Paula Serra
    Pages 16-26

  4. Topology Preserving SOM with Transductive Confidence Machine

    • Bin Tong, ZhiGuang Qin, Einoshin Suzuki
    Pages 27-41

  5. An Artificial Experimenter for Enzymatic Response Characterisation

    • Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-Peter Zauner
    Pages 42-56

  6. Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining

    • Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes
    Pages 57-71

  7. On Enumerating Frequent Closed Patterns with Key in Multi-relational Data

    • Hirohisa Seki, Yuya Honda, Shinya Nagano
    Pages 72-86

  8. Why Text Segment Classification Based on Part of Speech Feature Selection

    • Iulia Nagy, Katsuyuki Tanaka, Yasuo Ariki
    Pages 87-101

  9. Speeding Up and Boosting Diverse Density Learning

    • James R. Foulds, Eibe Frank
    Pages 102-116

  10. Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages

    • Katsuhiko Nakamura, Keita Imada
    Pages 117-131

  11. Sparse Substring Pattern Set Discovery Using Linear Programming Boosting

    • Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Masayuki Takeda
    Pages 132-143

  12. Discovery of Super-Mediators of Information Diffusion in Social Networks

    • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
    Pages 144-158

  13. Integer Linear Programming Models for Constrained Clustering

    • Marianne Mueller, Stefan Kramer
    Pages 159-173

  14. Efficient Visualization of Document Streams

    • Miha Grčar, Vid Podpečan, Matjaž Juršič, Nada Lavrač
    Pages 174-188

  15. Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns

    • Nassima Ben Younes, Tarek Hamrouni, Sadok Ben Yahia
    Pages 189-204

  16. Graph Classification Based on Optimizing Graph Spectra

    • Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio
    Pages 205-220

  17. Algorithm for Detecting Significant Locations from Raw GPS Data

    • Nobuharu Kami, Nobuyuki Enomoto, Teruyuki Baba, Takashi Yoshikawa
    Pages 221-235

  18. Discovery of Conservation Laws via Matrix Search

    • Oliver Schulte, Mark S. Drew
    Pages 236-250

  19. Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle

    • Panu Luosto, Jyrki Kivinen, Heikki Mannila
    Pages 251-265

  20. Exploiting Code Redundancies in ECOC

    • Sang-Hyeun Park, Lorenz Weizsäcker, Johannes Fürnkranz
    Pages 266-280
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  1. Discovery Science

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Editors and Affiliations

  • Department of Computer Science, University of Waikato, Hamilton, New Zealand

    Bernhard Pfahringer

  • Department of Computer Science, The University of Waikato, Hamilton, New Zealand

    Geoff Holmes

  • School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

    Achim Hoffmann

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