Data Warehousing and Knowledge Discovery 12th International Conferen
Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentia
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Torben Bach Pedersen Mukesh K. Mohania A Min Tjoa (Eds.)
Data Warehousing and Knowledge Discovery 12th International Conference, DaWaK 2010 Bilbao, Spain, August/September 2010 Proceedings
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Volume Editors Torben Bach Pedersen Aalborg University Selma Department of Computer Science Lagerløfs Vej 300 9220 Aalborg, Denmark E-mail: [email protected] Mukesh K. Mohania IBM India Research Lab 4, Block C, Institutional Area, Vasant Kunj New Delhi 110 070, India E-mail: [email protected] A Min Tjoa Vienna University of Technology Institute of Software Technology andInteractive Systems Favoritenstr. 9/188 1040 Wien, Austria E-mail: [email protected]
Library of Congress Control Number: 2010931871 CR Subject Classification (1998): H.2, H.2.8, H.3, H.4, J.1, H.5 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-642-15104-3 Springer Berlin Heidelberg New York 978-3-642-15104-0 Springer Berlin Heidelberg New York
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Preface
Data warehousing and knowledge discovery has been widely accepted as a key technology 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 considered become more and more complex in both structure and semantics. N
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