New Frontiers in Applied Data Mining

PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

  • Sanjay Chawla
  • Takashi Washio
  • Shin-ichi Minato
  • Shusaku Tsumoto
  • Takashi Onoda
  • Seiji Yamada
  • Akihiro Inokuchi
Conference proceedings PAKDD 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5433)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5433)

Table of contents

  1. Front Matter
  2. Workshop of ALSIP 2008

    1. Kazutaka Shimada, Daigo Hashimoto, Tsutomu Endo
      Pages 38-48
    2. Maybin Muyeba, M. Sulaiman Khan, Frans Coenen
      Pages 49-61
    3. Maybin Muyeba, M. Sulaiman Khan, Frans Coenen
      Pages 62-74
    4. Tomonobu Ozaki, Takenao Ohkawa
      Pages 75-86
    5. Arnoldo José Müller-Molina, Kouichi Hirata, Takeshi Shinohara
      Pages 87-98
    6. Taku Aratsu, Kouichi Hirata, Tetsuji Kuboyama
      Pages 99-110
    7. Koichiro Doi, Akihiro Yamamoto
      Pages 111-122
  3. Workshop of DMDRM 2008

    1. Tsau Young Lin, Shangxuan Zhang
      Pages 134-142
    2. Shoji Hirano, Shusaku Tsumoto
      Pages 143-156
  4. Workshop of IDM 2008

    1. Yasusi Sinohara, Atsuhiro Takasu
      Pages 157-168
    2. Motohiro Mase, Seiji Yamada, Katsumi Nitta
      Pages 169-180
    3. Norihiko Ito, Takashi Onoda, Hironobu Yamasaki
      Pages 181-192
    4. Tomoki Kajinami, Takashi Makihara, Yasufumi Takama
      Pages 193-202
  5. Back Matter

Other volumes

  1. 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings
  2. New Frontiers in Applied Data Mining
    PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

About these proceedings


This book constitutes the proceedings of the PAKDD Workshops 2008, namely ALSIP 2008, DMDRM 2008, and IDM 2008. The workshops were held in conjunction with the PAKDD conference in Osaka, Japan, during May 20-23, 2008.

The 17 papers presented were carefully reviewed and selected from 38 submissions.

The International Workshop on Algorithms for Large-Sale Information Processing in Knowledge Discovery (ALSIP) focused on exchanging fresh ideas on large-scale data processing in the problems of data mining, clustering, machine learning, statistical analysis, and other computational aspects of knowledge discovery problems.

The Workshop on Data Mining for Decision Making and Risk Management (DMDRM) covered data mining and machine learning approaches, statistical approaches, chance discovery, active mining and application of these techniques to medicine, marketing, security, decision support in business, social activities, human relationships, chemistry and sensor data.

The Workshop on Interactive Data Mining Overview (IDM) discussed various interactive data mining researches such as interactive information retrieval, information gathering sysetms, personalization systems, recommendation systems, user interfaces.


ALS Clustering algorithms data mining information processing knowledge knowledge discovery learning machine learning

Editors and affiliations

  • Sanjay Chawla
    • 1
  • Takashi Washio
    • 2
  • Shin-ichi Minato
    • 3
  • Shusaku Tsumoto
    • 4
  • Takashi Onoda
    • 5
  • Seiji Yamada
    • 6
  • Akihiro Inokuchi
    • 7
  1. 1.School of Information TechnologiesUniversity of SydneyNSWAustralia
  2. 2.The Institute of Scientific and Industrial ResearchOsaka UniversityOsakaJapan
  3. 3.Division of Computing ScienceHokkaido UniversitySapporoJapan
  4. 4.School of Medicine, Department of Medical InformaticsShimane UniversityShimaneJapan
  5. 5.Central Research Institute of Electric Power IndustryTokyoJapan
  6. 6.National Institute of InformaticsTokyoJapan
  7. 7.The Institute of Scientific and Industrial ResearchOsaka UniversityOsakaJapan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-00398-1
  • Online ISBN 978-3-642-00399-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site