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  • Conference proceedings
  • © 2010

Discovery Science

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

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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)

Conference series link(s): DS: International Conference on Discovery Science

Conference proceedings info: DS 2010.

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Table of contents (30 papers)

  1. Front Matter

  2. Sentiment Knowledge Discovery in Twitter Streaming Data

    • Albert Bifet, Eibe Frank
    Pages 1-15
  3. Topology Preserving SOM with Transductive Confidence Machine

    • Bin Tong, ZhiGuang Qin, Einoshin Suzuki
    Pages 27-41
  4. An Artificial Experimenter for Enzymatic Response Characterisation

    • Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-Peter Zauner
    Pages 42-56
  5. Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining

    • Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes
    Pages 57-71
  6. On Enumerating Frequent Closed Patterns with Key in Multi-relational Data

    • Hirohisa Seki, Yuya Honda, Shinya Nagano
    Pages 72-86
  7. Why Text Segment Classification Based on Part of Speech Feature Selection

    • Iulia Nagy, Katsuyuki Tanaka, Yasuo Ariki
    Pages 87-101
  8. Speeding Up and Boosting Diverse Density Learning

    • James R. Foulds, Eibe Frank
    Pages 102-116
  9. Sparse Substring Pattern Set Discovery Using Linear Programming Boosting

    • Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Masayuki Takeda
    Pages 132-143
  10. Discovery of Super-Mediators of Information Diffusion in Social Networks

    • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
    Pages 144-158
  11. Integer Linear Programming Models for Constrained Clustering

    • Marianne Mueller, Stefan Kramer
    Pages 159-173
  12. Efficient Visualization of Document Streams

    • Miha Grčar, Vid Podpečan, Matjaž Juršič, Nada Lavrač
    Pages 174-188
  13. Graph Classification Based on Optimizing Graph Spectra

    • Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio
    Pages 205-220
  14. Algorithm for Detecting Significant Locations from Raw GPS Data

    • Nobuharu Kami, Nobuyuki Enomoto, Teruyuki Baba, Takashi Yoshikawa
    Pages 221-235
  15. Discovery of Conservation Laws via Matrix Search

    • Oliver Schulte, Mark S. Drew
    Pages 236-250
  16. Exploiting Code Redundancies in ECOC

    • Sang-Hyeun Park, Lorenz Weizsäcker, Johannes Fürnkranz
    Pages 266-280

Other Volumes

  1. Discovery Science

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

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access