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Data Warehousing and Knowledge Discovery

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

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Yahiko Kambayashi

    1. Graduate School of Informatics, Kyoto University, Kyoto, Japan

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  2. Mukesh Mohania

    1. I.B.M. India Research Lab, India

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  3. Wolfram Wöß

    1. Institute for Application Oriented Knowledge Processing (FAW), Johannes Kepler University Linz, Austria

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

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Conference proceedings info: DaWaK 2003.

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About this book

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.

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Table of contents (42 papers)

  1. Front Matter

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  2. Invited Talk

    1. XML for Data Warehousing Chances and Challenges

      • Peter Fankhauser, Thomas Klement
      Pages 1-3

  3. Data Cubes and Queries

    1. CPM: A Cube Presentation Model for OLAP

      • Andreas Maniatis, Panos Vassiliadis, Spiros Skiadopoulos, Yannis Vassiliou
      Pages 4-13

    2. Computation of Sparse Data Cubes with Constraints

      • Changqing Chen, Jianlin Feng, Longgang Xiang
      Pages 14-23

    3. Answering Joint Queries from Multiple Aggregate OLAP Databases

      • Elaheh Pourabbas, Arie Shoshani
      Pages 24-34

    4. An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy

      • Long Zhang, Ying Li, Fangyan Rao, Xiulan Yu, Ying Chen, Dong Liu
      Pages 35-44

  4. Multidimensional Data Model

    1. A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations

      • Meng-Feng Tsai, Wesley Chu
      Pages 45-54

    2. The GMD Data Model for Multidimensional Information: A Brief Introduction

      • Enrico Franconi, Anand Kamble
      Pages 55-65

    3. An Application of Case-Based Reasoning in Multidimensional Database Architecture

      • Dragan Simić, Vladimir Kurbalija, Zoran Budimac
      Pages 66-75

  5. Web Warehousing

    1. MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems

      • Thanh Binh Nguyen, A Min Tjoa, Oscar Mangisengi
      Pages 76-88

    2. Designing Web Warehouses from XML Schemas

      • Boris Vrdoljak, Marko Banek, Stefano Rizzi
      Pages 89-98

    3. Building XML Data Warehouse Based on Frequent Patterns in User Queries

      • Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A Min Tjoa
      Pages 99-108

  6. Change Detection

    1. A Temporal Study of Data Sources to Load a Corporate Data Warehouse

      • Carme Martin, Alberto Abelló
      Pages 109-118

    2. Automatic Detection of Structural Changes in Data Warehouses

      • Johann Eder, Christian Koncilia, Dieter Mitsche
      Pages 119-128

    3. Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin

      • Rosana L. A. Rocha, Leonardo Figueiredo Cardoso, Jano Moreira de Souza
      Pages 129-139

  7. Web Mining and Association Rule

    1. Recent Developments in Web Usage Mining Research

      • Federico Michele Facca, Pier Luca Lanzi
      Pages 140-150

    2. Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph

      • Kikuko Kawase, Minoru Kawahara, Takeshi Iwashita, Hiroyuki Kawano, Masanori Kawazawa
      Pages 151-160

  8. Association Rules and Decision Trees

    1. Ordinal Association Rules towards Association Rules

      • Sylvie Guillaume
      Pages 161-171

    2. Rough Set Based Decision Tree Model for Classification

      • Sonajharia Minz, Rajni Jain
      Pages 172-181

    3. Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes

      • Shih-Hsiang Lo, Jian-Chih Ou, Ming-Syan Chen
      Pages 182-191
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Other volumes

  1. Data Warehousing and Knowledge Discovery

Editors and Affiliations

  • Graduate School of Informatics, Kyoto University, Kyoto, Japan

    Yahiko Kambayashi

  • I.B.M. India Research Lab, India

    Mukesh Mohania

  • Institute for Application Oriented Knowledge Processing (FAW), Johannes Kepler University Linz, Austria

    Wolfram Wöß

Bibliographic Information

  • Book Title: Data Warehousing and Knowledge Discovery

  • Book Subtitle: 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings

  • Editors: Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/b11825

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Softcover ISBN: 978-3-540-40807-9Published: 21 August 2003

  • eBook ISBN: 978-3-540-45228-7Published: 24 October 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 438

  • Topics: Computer Science, general

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