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New Frontiers in Applied Data Mining

PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Thanaruk Theeramunkong

    1. Thammasat University, Sirindhorn International Institute of Technology,, Muang, Pathumthani, Thailand

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  2. Cholwich Nattee

    1. Department of Architecture for Intelligence, The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

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  3. Paulo J. L. Adeodato

    1. Center for Informatics, Federal University of Pernambuco, Brazil

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  4. Nitesh Chawla

    1. Computer Science and Engineering Department, University of Notre Dame, Notre Dame, USA

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  5. Peter Christen

    1. Department of Computer Science, The Australian National University, Australia

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  6. Philippe Lenca

    1. TELECOM Bretagne, Lab-STICC, Institut TELECOM, Brest, France

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  7. Josiah Poon

    1. School of Information Technologies, University of Sydney, Australia

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  8. Graham Williams

    1. Australian Taxation Office, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5669)

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

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Conference proceedings info: PAKDD 2009.

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Table of contents (12 papers)

  1. Front Matter

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  2. The iZi Project: Easy Prototyping of Interesting Pattern Mining Algorithms

    • Frédéric Flouvat, Fabien De Marchi, Jean-Marc Petit
    Pages 1-15

  3. CODE: A Data Complexity Framework for Imbalanced Datasets

    • Cheng G. Weng, Josiah Poon
    Pages 16-27

  4. An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data

    • Kuo-Wei Hsu, Jaideep Srivastava
    Pages 28-39

  5. Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains

    • Sareewan Dendamrongvit, Miroslav Kubat
    Pages 40-52

  6. Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams

    • Ryan N. Lichtenwalter, Nitesh V. Chawla
    Pages 53-75

  7. Two Measures of Objective Novelty in Association Rule Mining

    • José L. Balcázar
    Pages 76-98

  8. PAKDD Data Mining Competition 2009: New Ways of Using Known Methods

    • Chaim Linhart, Guy Harari, Sharon Abramovich, Altina Buchris
    Pages 99-105

  9. Feature Selection for Brain-Computer Interfaces

    • Irena Koprinska
    Pages 106-117

  10. Mining Protein Interactions from Text Using Convolution Kernels

    • Ramanathan Narayanan, Sanchit Misra, Simon Lin, Alok Choudhary
    Pages 118-129

  11. Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables

    • Peerachet Porkaew, Thepchai Supnithi
    Pages 130-140

  12. Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures

    • Kobkrit Viriyayudhakorn, Thanaruk Theeramunkong, Cholwich Nattee, Thepchai Supnithi, Manabu Okumura
    Pages 141-155

  13. Accurate Subsequence Matching on Data Stream under Time Warping Distance

    • Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana
    Pages 156-167

  14. Back Matter

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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. New Frontiers in Applied Data Mining

Keywords

Editors and Affiliations

  • Thammasat University, Sirindhorn International Institute of Technology,, Muang, Pathumthani, Thailand

    Thanaruk Theeramunkong

  • Department of Architecture for Intelligence, The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

    Cholwich Nattee

  • Center for Informatics, Federal University of Pernambuco, Brazil

    Paulo J. L. Adeodato

  • Computer Science and Engineering Department, University of Notre Dame, Notre Dame, USA

    Nitesh Chawla

  • Department of Computer Science, The Australian National University, Australia

    Peter Christen

  • TELECOM Bretagne, Lab-STICC, Institut TELECOM, Brest, France

    Philippe Lenca

  • School of Information Technologies, University of Sydney, Australia

    Josiah Poon

  • Australian Taxation Office, Australia

    Graham Williams

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