Data Warehousing and Knowledge Discovery

9th International Conference, DaWaK 2007, Regensburg Germany, September 3-7, 2007. Proceedings

  • Editors
  • Il Yeal Song
  • Johann Eder
  • Tho Manh Nguyen
Conference proceedings DaWaK 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4654)

Table of contents

  1. Front Matter
  2. Data Warehouse Architecture

    1. Cécile Favre, Fadila Bentayeb, Omar Boussaid
      Pages 13-22
    2. George Papastefanatos, Panos Vassiliadis, Alkis Simitsis, Yannis Vassiliou
      Pages 23-33
  3. Data Warehouse Quality

    1. Marko Banek, Boris Vrdoljak, A. Min Tjoa, Zoran Skočir
      Pages 45-54
    2. Wugang Xu, Dimitri Theodoratos, Calisto Zuzarte, Xiaoying Wu, Vincent Oria
      Pages 55-65
  4. Multidimensional Database

    1. Salvatore Orlando, Renzo Orsini, Alessandra Raffaetà, Alessandro Roncato, Claudio Silvestri
      Pages 66-77
    2. Rong She, Ke Wang, Ada Waichee Fu, Yabo Xu
      Pages 78-88
    3. Guillaume Cabanac, Max Chevalier, Franck Ravat, Olivier Teste
      Pages 89-98
  5. Data Warehouse and OLAP

    1. Oscar Romero, Alberto Abelló
      Pages 99-110
    2. Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
      Pages 111-122
    3. Véronique Cariou, Jérôme Cubillé, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic
      Pages 123-134
    4. Sébastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal
      Pages 135-144
  6. Query Optimization

    1. Apostolos N. Papadopoulos, Apostolos Lyritsis, Alexandros Nanopoulos, Yannis Manolopoulos
      Pages 145-156
    2. Nittaya Kerdprasop, Kittisak Kerdprasop
      Pages 157-169
    3. Fangling Leng, Yubin Bao, Daling Wang, Ge Yu
      Pages 170-180
  7. Data Warehousing and Data Mining

  8. Clustering

    1. Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-sheng Chen, Oner Ulvi Celepcikay, Christian Giusti, Christoph F. Eick
      Pages 231-240
    2. Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis
      Pages 241-250
    3. MinTzu Wang, PingYu Hsu, K. C. Lin, ShiuannShuoh Chen
      Pages 251-261
    4. Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy
      Pages 262-271
  9. Association Rules

    1. Show-Jane Yen, Yue-Shi Lee
      Pages 283-292
    2. Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Nguifo, Slim Bouker
      Pages 293-302
  10. Healthcare and Biomedical Applications

    1. Alberto Freitas, Altamiro Costa-Pereira, Pavel Brazdil
      Pages 303-312
    2. Xiaodan Zhang, Xiaohua Hu, Jiali Xia, Xiaohua Zhou, Palakorn Achananuparp
      Pages 313-322
  11. Classification

    1. Mohammad Khabbaz, Kievan Kianmher, Mohammad Alshalalfa, Reda Alhajj
      Pages 334-344
    2. Manoranjan Dash, Vivekanand Gopalkrishnan
      Pages 345-354
  12. Partitioning

    1. Ronnie Alves, Orlando Belo, Joel Ribeiro
      Pages 375-384
    2. Zhidan Feng, Xiaowei Xu, Nurcan Yuruk, Thomas A. J. Schweiger
      Pages 385-396
    3. Zi Huang, Heng Tao Shen, Xiaofang Zhou, Jie Shao
      Pages 397-406
  13. Privacy and Crytography

  14. Miscellaneous Knowledge Discovery Techniques

    1. Rodrigo Salvador Monteiro, Geraldo Zimbrão, Holger Schwarz, Bernhard Mitschang, Jano Moreira de Souza
      Pages 438-448
    2. Liqiang Geng, Howard J. Hamilton, Larry Korba
      Pages 449-458
    3. Sandra de Amo, Arnaud Giacometti, Waldecir Pereira Junior
      Pages 459-469
    4. Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou
      Pages 470-480
  15. Back Matter

About these proceedings


Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be processed become more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data constitutes the reality check for research in the area. During the past few years, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has become one of the most important international scientific events bringing together researchers, developers and practitioners. The DaWaK conferences served as a prominent forum for discussing latest research issues and experiences in developing and deploying data warehousing and knowledge d- covery systems, applications, and solutions. This year’s conference, the Ninth Inter- tional Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007), built on this tradition of facilitating the cross-disciplinary exchange of ideas, expe- ence and potential research directions. DaWaK 2007 sought to disseminate innovative principles, methods, algorithms and solutions to challenging problems faced in the development of data warehousing, knowledge discovery and data mining applications.


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

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-74552-5
  • Online ISBN 978-3-540-74553-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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