New Frontiers in Applied Data Mining

1. Front Matter

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2. Workshop of ALSIP 2008

   1. Flexible Framework for Time-Series Pattern Matching over Multi-dimension Data Stream

      • Takuya Kida, Tomoya Saito, Hiroki Arimura

      Pages 1-12

   2. An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting

      • Tatsuya Asai, Seishi Okamoto, Hiroki Arimura

      Pages 13-25

   3. Incrementally Mining Recently Repeating Patterns over Data Streams

      • Jia-Ling Koh, Pei-Min Chou

      Pages 26-37

   4. A Graph-Based Approach for Sentiment Sentence Extraction

      • Kazutaka Shimada, Daigo Hashimoto, Tsutomu Endo

      Pages 38-48

   5. Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework

      • Maybin Muyeba, M. Sulaiman Khan, Frans Coenen

      Pages 49-61

   6. A Framework for Mining Fuzzy Association Rules from Composite Items

      • Maybin Muyeba, M. Sulaiman Khan, Frans Coenen

      Pages 62-74

   7. Mining Mutually Dependent Ordered Subtrees in Tree Databases

      • Tomonobu Ozaki, Takenao Ohkawa

      Pages 75-86

   8. A Tree Distance Function Based on Multi-sets

      • Arnoldo José Müller-Molina, Kouichi Hirata, Takeshi Shinohara

      Pages 87-98

   9. Sibling Distance for Rooted Labeled Trees

      • Taku Aratsu, Kouichi Hirata, Tetsuji Kuboyama

      Pages 99-110

   10. Kernel Functions Based on Derivation

       • Koichiro Doi, Akihiro Yamamoto

       Pages 111-122

3. Workshop of DMDRM 2008

   1. Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application

      • Anita Prinzie, Dirk Van den Poel

      Pages 123-133

   2. An Automata Based Authorship Identification System

      • Tsau Young Lin, Shangxuan Zhang

      Pages 134-142

   3. Detection of Risk Factors as Temporal Data Mining

      • Shoji Hirano, Shusaku Tsumoto

      Pages 143-156

4. Workshop of IDM 2008

   1. Two-Phased Active Support Kernel Machine Learning

      • Yasusi Sinohara, Atsuhiro Takasu

      Pages 157-168

   2. Extracting Topic Maps from Web Pages

      • Motohiro Mase, Seiji Yamada, Katsumi Nitta

      Pages 169-180

   3. Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants

      • Norihiko Ito, Takashi Onoda, Hironobu Yamasaki

      Pages 181-192

   4. Interactive Visualization System for Decision Making Support in Online Shopping

      • Tomoki Kajinami, Takashi Makihara, Yasufumi Takama

      Pages 193-202

   5. A Method to Recognize and Count Leaves on the Surface of a River Using User’s Knowledge about Color of Leaves

      • Fujio Tsutsumi, Yutaka Tateda

      Pages 203-212

5. Back Matter

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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

• School of Information Technologies, University of Sydney, NSW, Australia

  Sanjay Chawla

• The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

  Takashi Washio, Akihiro Inokuchi

• Division of Computing Science, Hokkaido University, Sapporo, Japan

  Shin-ichi Minato

• School of Medicine, Department of Medical Informatics, Shimane University, Shimane, Japan

  Shusaku Tsumoto

• Central Research Institute of Electric Power Industry, Tokyo, Japan

  Takashi Onoda

• National Institute of Informatics, Tokyo, Japan

  Seiji Yamada

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