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© 2007

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. Privacy and Crytography

    1. Shuguo Han, Wee Keong Ng
      Pages 428-437
  2. 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
  3. Back Matter

About these proceedings

Introduction

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.

Keywords

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

Bibliographic information