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Data Warehousing and Knowledge Discovery

11th International Conference, DaWaK 2009 Linz, Austria, August 31–September 2, 2009 Proceedings

  • Torben Bach Pedersen
  • Mukesh K. Mohania
  • A Min Tjoa

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5691)

Table of contents

  1. Front Matter
  2. Invited Talk

    1. Laura M. Haas, Aya Soffer
      Pages 1-8
  3. Data Warehouse Modeling

    1. Alejandro Vaisman, Esteban Zimányi
      Pages 9-23
    2. Carlos Blanco, Ricardo Pérez-Castillo, Arnulfo Hernández, Eduardo Fernández-Medina, Juan Trujillo
      Pages 24-35
    3. Jesús Pardillo, Matteo Golfarelli, Stefano Rizzi, Juan Trujillo
      Pages 36-47
  4. Data Streams

    1. Kei Wakabayashi, Takao Miura
      Pages 63-74
    2. Weiyun Huang, Edward Omiecinski, Leo Mark, Minh Quoc Nguyen
      Pages 75-86
  5. Physical Design

    1. Jan Chmiel, Tadeusz Morzy, Robert Wrembel
      Pages 87-98
    2. Goetz Graefe
      Pages 111-124
  6. Pattern Mining

  7. Data Cubes

    1. Alfredo Ferro, Rosalba Giugno, Piera Laura Puglisi, Alfredo Pulvirenti
      Pages 189-203
    2. Sébastien Nedjar
      Pages 204-215
  8. Data Mining Applications

    1. B. Q. Huang, M-T. Kechadi, B. Buckley
      Pages 229-243
  9. Analytics

  10. Data Mining

    1. Jinhan Kim, Jongwuk Lee, Seung-won Hwang
      Pages 312-324
    2. Srihari Padmanabhan, Sharma Chakravarthy
      Pages 325-338
    3. Mirjana Mazuran, Elisa Quintarelli, Rosalba Rossato, Letizia Tanca
      Pages 339-353
    4. Maya Wardeh, Frans Coenen, Trevor Bench-Capon
      Pages 354-365
  11. Clustering

    1. Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic
      Pages 366-377
    2. M. Julia Flores, José A. Gámez, Jens D. Nielsen
      Pages 378-389
    3. Petr Chmelar, Ivana Rudolfova, Jaroslav Zendulka
      Pages 390-401
  12. Spatio-Temporal Mining

    1. Wei Chen, Parvathi Chundi
      Pages 402-414
    2. Jin Soung Yoo, Mark Bow
      Pages 415-427
  13. Rule Mining

    1. Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
      Pages 428-440
    2. Leila Ben Othman, François Rioult, Sadok Ben Yahia, Bruno Crémilleux
      Pages 441-452
  14. Olap Recommendation

    1. Arnaud Giacometti, Patrick Marcel, Elsa Negre
      Pages 453-466
    2. Houssem Jerbi, Franck Ravat, Olivier Teste, Gilles Zurfluh
      Pages 467-478
  15. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009.

The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on data warehouse modeling, data streams, physical design, pattern mining, data cubes, data mining applications, analytics, data mining, clustering, spatio-temporal mining, rule mining, and OLAP recommendation.

Keywords

Markov model OLAP cluster analysis clustering data mining data warehouse database database management hidden markov model knowledge discovery pattern matching performance relational database visualization web mining

Editors and affiliations

  • Torben Bach Pedersen
    • 1
  • Mukesh K. Mohania
    • 2
  • A Min Tjoa
    • 3
  1. 1.Department of Computer ScienceAalborg UniversityAalborg ØDenmark
  2. 2.IBM India Research LabNew DelhiIndia
  3. 3.Institute of Software Technology and Interactive SystemsVienna University of TechnologyWienAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03730-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03729-0
  • Online ISBN 978-3-642-03730-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site