© 2008

Data Warehousing and Knowledge Discovery

10th International Conference, DaWaK 2008 Turin, Italy, September 2-5, 2008 Proceedings

  • Editors
  • Il-Yeol Song
  • Johann Eder
  • Tho Manh Nguyen
Conference proceedings DaWaK 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5182)

Table of contents

  1. Front Matter
  2. Conceptual Design and Modeling

    1. Matteo Golfarelli, Stefano Rizzi
      Pages 1-12
    2. Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo
      Pages 13-22
    3. Octavio Glorio, Juan Trujillo
      Pages 23-32
  3. OLAP and Cube Processing

    1. Véronique Cariou, Jérôme Cubillé, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic
      Pages 33-44
    2. Sébastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal
      Pages 45-54
    3. Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh
      Pages 55-64
  4. Distributed Data Warehouse

    1. Raquel Almeida, Jorge Vieira, Marco Vieira, Henrique Madeira, Jorge Bernardino
      Pages 75-86
    2. Ladjel Bellatreche, Kamel Boukhalfa, Pascal Richard
      Pages 87-96
  5. Data Privacy in Data Warehouse

    1. Alfredo Cuzzocrea, Vincenzo Russo, Domenico Saccà
      Pages 97-114
    2. Lijie Zhang, Weining Zhang
      Pages 115-124
    3. Kenneth Choi, Wo-Shun Luk
      Pages 125-134
  6. Data Warehouse and Data Mining

    1. Marc Plantevit, Anne Laurent, Maguelonne Teisseire
      Pages 156-165
  7. Clustering I

    1. S. A. Arul Shalom, Manoranjan Dash, Minh Tue
      Pages 166-175
    2. Nicolas S. Müller, Alexis Gabadinho, Gilbert Ritschard, Matthias Studer
      Pages 176-185
    3. Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis
      Pages 186-195
  8. Clustering II

    1. Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin Burke
      Pages 196-205

About these proceedings


This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008.

The 40 revised full papers presented were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on conceptual design and modeling, olap and cube processing, distributed data warehouse, data privacy in data warehouse, data warehouse and data mining, clustering, mining data streams, classification, text mining and taxonomy, machine learning techniques, and data mining applications.


Clustering classification data mining data warehouse knowledge knowledge discovery learning machine learning modeling text mining

Bibliographic information