Data Warehousing and Knowledge Discovery

8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006. Proceedings

  • A Min Tjoa
  • Juan Trujillo

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4081)

Table of contents

  1. Front Matter
  2. ETL Processing

    1. Christian Thomsen, Torben Bach Pedersen
      Pages 1-12
    2. Jose-Norberto Mazón, Jesús Pardillo, Juan Trujillo
      Pages 13-22
    3. Davood Rafiei, Cheng Hu
      Pages 23-32
  3. Materialized View

    1. Michael Lawrence, Andrew Rau-Chaplin
      Pages 33-44
    2. Songmei Yu, Vijayalakshmi Atluri, Nabil Adam
      Pages 45-54
    3. Wugang Xu, Calisto Zuzarte, Dimitri Theodoratos, Wenbin Ma
      Pages 55-64
  4. Multidimensional Design

    1. Franck Ravat, Olivier Teste, Gilles Zurfluh
      Pages 65-74
    2. Estella Annoni, Franck Ravat, Olivier Teste, Gilles Zurfluh
      Pages 75-84
    3. Oscar Romero, Alberto Abelló
      Pages 85-94
  5. OLAP and Multidimensional Model

    1. Svetlana Mansmann, Marc H. Scholl
      Pages 95-105
    2. Stefan Berger, Michael Schrefl
      Pages 120-133
    3. Stefano Rizzi, Matteo Golfarelli
      Pages 134-144
  6. Cubes Processing

    1. Xiuzhen Zhang, Pauline Lienhua Chou, Kotagiri Ramamohanarao
      Pages 145-154
    2. Ronnie Alves, Orlando Belo
      Pages 165-174
  7. Data Warehouse Applications

    1. Laura Irina Rusu, Wenny Rahayu, David Taniar
      Pages 175-184
    2. Marko Banek, A Min Tjoa, Nevena Stolba
      Pages 185-194
    3. Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
      Pages 195-206

About these proceedings

Introduction

For more than a decade, data warehousing together with knowledge discovery technology have made up the key technology for the decision-making process in companies. Since 1999, due to the relevant role of these technologies in academia and industry, the Data Warehousing and Knowledge Discovery (DaWaK) conference series has become an international forum for both practitioners and researchers to share their findings, publish their relevant results and debate in depth research issues and experiences on data warehousing and knowledge discovery systems and applications. th The 8 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2006) continued the series of successful conferences dedicated to these topics. In this edition, DaWaK aimed at providing the right and logical balance between data warehousing and knowledge discovery. In data warehousing the papers cover different research problems, such as advanced techniques in OLAP visuali- tion and multidimensional modelling, innovation of ETL processes and integration problems, materialized view optimization, very large data warehouse processing, data warehouses and data mining applications integration, data warehousing for real-life applications, e. g. , medical applications and spatial applications. In data mining and knowledge discovery, papers are focused on a variety of topics from data streams analysis and mining, ontology-based mining techniques, mining frequent item sets, clustering, association and classification, patterns and so on. These proceedings contain the technical papers which were selected for presentation at the conference. We received 198 abstracts, and finally received 146 papers from 36 countries.

Keywords

LA OLAP On-Line Analytical Processing classification data warehouse knowledge discovery ontology service-oriented computing warehousing

Editors and affiliations

  • A Min Tjoa
    • 1
  • Juan Trujillo
    • 2
  1. 1.Institute of Software Technology and Interactive SystemsVienna University of TechnologyWienAustria
  2. 2.Department of Software and Computing SystemsUniversity of AlicanteSpain

Bibliographic information

  • DOI https://doi.org/10.1007/11823728
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-37736-8
  • Online ISBN 978-3-540-37737-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book