Data Warehousing and Knowledge Discovery

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

  • Yahiko Kambayashi
  • Werner Winiwarter
  • Masatoshi Arikawa
Conference proceedings DaWaK 2001

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

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Invited Talk

  3. Association Rules (1)

  4. Association Rules (2)

    1. Steffan Baron, Myra Spiliopoulou
      Pages 51-60
    2. Sérgio Viademonte, Frada Burstein, Robert Dahni, Scott Williams
      Pages 61-70
    3. Raffaele Perego, Salvatore Orlando, P. Palmerini
      Pages 71-82
  5. Mining Temporal Patterns

    1. Ismail H. Toroslu, Murat Kantarcioglu
      Pages 83-92
  6. Data Mining Techniques

    1. Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
      Pages 111-120
    2. Yongqiao Xiao, Margaret H. Dunham
      Pages 121-130
  7. Collaborative Filtering and Web Mining

    1. Se June Hong, Ramesh Natarajan, Ilana Belitskaya
      Pages 131-140
    2. Sonny Han Seng Chee, Jiawei Han, Ke Wang
      Pages 141-151
    3. K. Selςuk Candan⋆, Wen-Syan Li
      Pages 152-161
  8. Visualization and Matchmaking

    1. Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
      Pages 162-173
    2. Ayman Ammoura, Osmar Zaïane, Randy Goebel
      Pages 174-185
    3. Thomas Eiter, Daniel Veit, Jörg P. Müller, Martin Schneider
      Pages 186-194

About these proceedings

Introduction

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.

Keywords

Data warehouses LA OLAF OLAP Visualization Web mining data mining data warehouse data warehousing discovery science associaation rules distributed databases knowledge discovery temporal pattern mining

Editors and affiliations

  • Yahiko Kambayashi
    • 1
  • Werner Winiwarter
    • 2
  • Masatoshi Arikawa
    • 3
  1. 1.Kyoto UniversityKyotoJapan
  2. 2.EC3Wien
  3. 3.Center for Spatial Information Science (CSIS)University of TokyoTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-44801-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-42553-3
  • Online ISBN 978-3-540-44801-3
  • Series Print ISSN 0302-9743
  • About this book
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