Data Warehousing and Knowledge Discovery

7th International Conference, DaWaK 2005, Copenhagen, Denmark, August 22-26, 2005. Proceedings

  • A Min Tjoa
  • Juan Trujillo
Conference proceedings DaWaK 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3589)

Table of contents

  1. Front Matter
  2. Data Warehouse I

    1. Johann Eder, Christian Koncilia, Karl Wiggisser
      Pages 1-10
    2. Tho Manh Nguyen, Jaromir Nemec, Martin Windisch
      Pages 22-31
    3. Byung-Kwon Park, Hyoil Han, Il-Yeol Song
      Pages 32-42
  3. Data Warehouse II

    1. Alkis Simitsis, Panos Vassiliadis, Manolis Terrovitis, Spiros Skiadopoulos
      Pages 43-52
    2. Veronika Stefanov, Beate List, Birgit Korherr
      Pages 53-63
    3. Kamel Aouiche, Jérôme Darmont, Omar Boussaïd, Fadila Bentayeb
      Pages 64-73
  4. Evaluating Data Warehouses and Tools

    1. Christian Thomsen, Torben Bach Pedersen
      Pages 74-84
    2. Jérôme Darmont, Fadila Bentayeb, Omar Boussaïd
      Pages 85-94
    3. Gema Berenguer, Rafael Romero, Juan Trujillo, Manuel Serrano, Mario Piattini
      Pages 95-104
  5. Schema Transformations

    1. Ladjel Bellatreche, Kamel Boukhalfa
      Pages 115-125
    2. Paulo Carreira, Helena Galhardas, João Pereira, Antónia Lopes
      Pages 136-145
  6. Materialized Views

    1. Jinho Kim, Byung-Suk Lee, Yang-Sae Moon, Soo-Ho Ok, Wookey Lee
      Pages 146-156
    2. Songmei Yu, Vijayalakshmi Atluri, Nabil Adam
      Pages 157-167
    3. Hongsong Li, Houkuan Huang, Shijin Liu
      Pages 168-178
  7. Aggregates

    1. Hua-Gang Li, Hailing Yu, Divyakant Agrawal, Amr El Abbadi
      Pages 179-189
    2. Marcin Gorawski, Rafal Malczok
      Pages 190-199

About these proceedings

Introduction

For more than a decade, data warehousing and knowledge discovery technologies have been developing into key technologies for decision-making processes in com- nies. Since 1999, due to the relevant role of these technologies in academia and ind- try, the Data Warehousing and Knowledge Discovery (DaWaK) conference series have become an international forum where both practitioners and researchers share their findings, publish their relevant results and dispute in depth research issues and experiences on data warehousing and knowledge discovery systems and applications. The 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005) continued series of successful conferences dedicated to these topics. In this edition, the conference tried to provide the right, logical balance between data warehousing and knowledge discovery. Regarding data warehousing, papers cover different relevant and still unsolved research problems, such as the modelling of ETL processes and integration problems, designing OLAP technologies from XML do- ments, modelling data warehouses and data mining applications together, impro- ments in query processing, partitioning and implementations. With regard to data mining, a variety of papers were presented on subjects including data mining te- niques, clustering, classification, text documents and classification, and patterns. These proceedings contain the technical papers that were selected for presentation at the conference. We received 196 abstracts, and finally received 162 papers from 38 countries, and the Program Committee eventually selected 51 papers, making an acceptance rate of 31.4 % of submitted papers.

Keywords

algorithms classification data mining data warehouse database knowledge discovery service-oriented computing tools 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/10.1007/11546849
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-28558-8
  • Online ISBN 978-3-540-31732-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book