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Data Warehousing and Knowledge Discovery

Third International Conference, DaWaK 2001 Munich, Germany September 5-7, 2001 Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Yahiko Kambayashi

    1. Kyoto University, Kyoto, Japan

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  2. Werner Winiwarter

    1. EC3, Wien

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  3. Masatoshi Arikawa

    1. Center for Spatial Information Science (CSIS), University of Tokyo, Tokyo, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2114)

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Table of contents (34 papers)

  1. Front Matter

    Pages I-XIV
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  3. Association Rules (1)

    1. Mining Generalized Association Rules with Multiple Minimum Supports

      • Ming-Cheng Tseng, Wen-Yang Lin
      Pages 11-20

    2. A Theoretical Framework for Association Mining based on the Boolean Retrieval Model

      • Peter Bollmann-Sdorra, Alaaeldin M. Hafez, Vijay V. Raghavan
      Pages 21-30

    3. Mining Inter-Transactional Association Rules: Generalization and Empirical Evaluation

      • Ling Feng, Qing Li, Allan Wong
      Pages 31-40

    4. On the Equivalence of Top-down and Bottom-up Data Mining in Relational Databases

      • Hasan M. Jamil
      Pages 41-50

  4. Association Rules (2)

    1. Monitoring Change in Mining Results

      • Steffan Baron, Myra Spiliopoulou
      Pages 51-60

    2. Discovering Knowledge from Meteorological Databases: A Meteorological Aviation Forecast Study

      • Sérgio Viademonte, Frada Burstein, Robert Dahni, Scott Williams
      Pages 61-70

    3. Enhancing the Apriori Algorithm for Frequent Set Counting

      • Raffaele Perego, Salvatore Orlando, P. Palmerini
      Pages 71-82

  5. Mining Temporal Patterns

    1. Mining Cyclically Repeated Patterns

      • Ismail H. Toroslu, Murat Kantarcioglu
      Pages 83-92

    2. Development of Automated Data Mining System for Quality Control in Manufacturing

      • Hideyuki Maki, Yuko Teranishi
      Pages 93-100

  6. Data Mining Techniques

    1. FastFDs: A Heuristic-Driven, Depth-First Algorithm for Mining Functional Dependencies from Relation Instances Extended Abstract

      • Catharine Wyss, Chris Giannella, Edward Robertson
      Pages 101-110

    2. Ensemble Feature Selection Based on the Contextual Merit

      • Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
      Pages 111-120

    3. Interactive Clustering for Transaction Data

      • Yongqiao Xiao, Margaret H. Dunham
      Pages 121-130

  7. Collaborative Filtering and Web Mining

    1. A New Approach For Item Choice Recommendations

      • Se June Hong, Ramesh Natarajan, Ilana Belitskaya
      Pages 131-140

    2. RecTree: An Efficient Collaborative Filtering Method

      • Sonny Han Seng Chee, Jiawei Han, Ke Wang
      Pages 141-151

    3. Discovering Web Document Associations for Web Site Summarization

      • K. Selςuk Candan⋆, Wen-Syan Li
      Pages 152-161

  8. Visualization and Matchmaking

    1. Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics

      • Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
      Pages 162-173

    2. Towards a Novel OLAP Interface for Distributed Data Warehouses

      • Ayman Ammoura, Osmar Zaïane, Randy Goebel
      Pages 174-185

    3. Matchmaking for Structured Objects

      • Thomas Eiter, Daniel Veit, Jörg P. Müller, Martin Schneider
      Pages 186-194
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Keywords

About this book

Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. The objective of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001) was to bring together researchers and practitioners to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of association rules, mining temporal patterns, data mining techniques, collaborative filtering, Web mining, visualization, matchmaking, evelopment and maintenance of data warehouses, OLAP, and distributed data warehouses. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries, and the program committee finally selected 34 papers. The conference program included one invited talk: “Knowledge Management in Heterogeneous Data Warehouse Environments” by Professor Larry Kerschberg, George Mason University, USA.

Editors and Affiliations

  • Kyoto University, Kyoto, Japan

    Yahiko Kambayashi

  • EC3, Wien

    Werner Winiwarter

  • Center for Spatial Information Science (CSIS), University of Tokyo, Tokyo, Japan

    Masatoshi Arikawa

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