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

DOI: 10.1007/978-3-540-85836-2

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

Table of contents (40 papers)

  1. Front Matter
  2. Conceptual Design and Modeling

    1. UML-Based Modeling for What-If Analysis
      Matteo Golfarelli, Stefano Rizzi
      Pages 1-12
    2. Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses
      Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo
      Pages 13-22
    3. An MDA Approach for the Development of Spatial Data Warehouses
      Octavio Glorio, Juan Trujillo
      Pages 23-32
  3. OLAP and Cube Processing

    1. Built-In Indicators to Discover Interesting Drill Paths in a Cube
      Véronique Cariou, Jérôme Cubillé, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic
      Pages 33-44
    2. Upper Borders for Emerging Cubes
      Sébastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal
      Pages 45-54
    3. Top_Keyword: An Aggregation Function for Textual Document OLAP
      Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh
      Pages 55-64
  4. Distributed Data Warehouse

    1. Efficient Data Distribution for DWS
      Raquel Almeida, Jorge Vieira, Marco Vieira, Henrique Madeira, Jorge Bernardino
      Pages 75-86
    2. Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation
      Ladjel Bellatreche, Kamel Boukhalfa, Pascal Richard
      Pages 87-96
  5. Data Privacy in Data Warehouse

    1. A Robust Sampling-Based Framework for Privacy Preserving OLAP
      Alfredo Cuzzocrea, Vincenzo Russo, Domenico Saccà
      Pages 97-114
    2. Generalization-Based Privacy-Preserving Data Collection
      Lijie Zhang, Weining Zhang
      Pages 115-124
    3. Processing Aggregate Queries on Spatial OLAP Data
      Kenneth Choi, Wo-Shun Luk
      Pages 125-134
  6. Data Warehouse and Data Mining

    1. Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies
      Marc Plantevit, Anne Laurent, Maguelonne Teisseire
      Pages 156-165
  7. Clustering I

    1. Efficient K-Means Clustering Using Accelerated Graphics Processors
      S. A. Arul Shalom, Manoranjan Dash, Minh Tue
      Pages 166-175
    2. Extracting Knowledge from Life Courses: Clustering and Visualization
      Nicolas S. Müller, Alexis Gabadinho, Gilbert Ritschard, Matthias Studer
      Pages 176-185
    3. A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP
      Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis
      Pages 186-195
  8. Clustering II

    1. Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering
      Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin Burke
      Pages 196-205

About these proceedings

Introduction

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.

Keywords

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

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-85835-5
  • Online ISBN 978-3-540-85836-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349