Data Warehousing and Knowledge Discovery

5th International Conference, DaWak 2003, Prague, Czech Republic, September 3-5, 2003. Proceedings

  • Yahiko Kambayashi
  • Mukesh Mohania
  • Wolfram Wöß
Conference proceedings DaWaK 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2737)

Table of contents

  1. Front Matter
  2. Invited Talk

    1. Peter Fankhauser, Thomas Klement
      Pages 1-3
  3. Data Cubes and Queries

    1. Andreas Maniatis, Panos Vassiliadis, Spiros Skiadopoulos, Yannis Vassiliou
      Pages 4-13
    2. Changqing Chen, Jianlin Feng, Longgang Xiang
      Pages 14-23
    3. Elaheh Pourabbas, Arie Shoshani
      Pages 24-34
    4. Long Zhang, Ying Li, Fangyan Rao, Xiulan Yu, Ying Chen, Dong Liu
      Pages 35-44
  4. Multidimensional Data Model

  5. Web Warehousing

    1. Thanh Binh Nguyen, A Min Tjoa, Oscar Mangisengi
      Pages 76-88
    2. Boris Vrdoljak, Marko Banek, Stefano Rizzi
      Pages 89-98
    3. Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A Min Tjoa
      Pages 99-108
  6. Change Detection

    1. Carme Martin, Alberto Abelló
      Pages 109-118
    2. Johann Eder, Christian Koncilia, Dieter Mitsche
      Pages 119-128
    3. Rosana L. A. Rocha, Leonardo Figueiredo Cardoso, Jano Moreira de Souza
      Pages 129-139
  7. Web Mining and Association Rule

    1. Federico Michele Facca, Pier Luca Lanzi
      Pages 140-150
    2. Kikuko Kawase, Minoru Kawahara, Takeshi Iwashita, Hiroyuki Kawano, Masanori Kawazawa
      Pages 151-160
  8. Association Rules and Decision Trees

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003.

The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.

Keywords

Data Warehouse classification clustering data analysis database database systems performance performance evaluation programming semantic web

Editors and affiliations

  • Yahiko Kambayashi
    • 1
  • Mukesh Mohania
    • 2
  • Wolfram Wöß
    • 3
  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan
  2. 2.I.B.M. India Research LabIndia
  3. 3.Institute for Application Oriented Knowledge Processing (FAW)Johannes Kepler University LinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/b11825
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40807-9
  • Online ISBN 978-3-540-45228-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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