Data Mining and Bioinformatics First International Workshop, VDMB 20
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom databas
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Edited by S. Istrail, P. Pevzner, and M. Waterman Editorial Board: A. Apostolico S. Brunak M. Gelfand T. Lengauer S. Miyano G. Myers M.-F. Sagot D. Sankoff R. Shamir T. Speed M. Vingron W. Wong
Subseries of Lecture Notes in Computer Science
Mehmet M. Dalkilic Sun Kim Jiong Yang (Eds.)
Data Mining and Bioinformatics First International Workshop, VDMB 2006 Seoul, Korea, September 11, 2006 Revised Selected Papers
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Series Editors Sorin Istrail, Brown University, Providence, RI, USA Pavel Pevzner, University of California, San Diego, CA, USA Michael Waterman, University of Southern California, Los Angeles, CA, USA Volume Editors Mehmet M. Dalkilic Sun Kim Indiana University Center for Genomics and Bioinformatics School of Informatics Bloomington,IN 47408, USA E-mail: {dalkilic,sunkim2}@indiana.edu Jiong Yang Case Western Reserve University EECS Department, Department of Epidemiology and Biostatistics Cleveland, OH, 44106, USA E-mail: [email protected]
Library of Congress Control Number: 2006938545
CR Subject Classification (1998): H.2.8, I.5, J.3, I.2, H.3, F.1-2 LNCS Sublibrary: SL 8 – Bioinformatics ISSN ISBN-10 ISBN-13
0302-9743 3-540-68970-2 Springer Berlin Heidelberg New York 978-3-540-68970-6 Springer Berlin Heidelberg New York
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Preface
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing together researchers from database, data mining, and bioinformatics areas to help leverage respective successes in each to the others. We also hope to expose the richness, complexity, and challenges in this area that involves mining very large complex biological data that will only grow in size and complexity as genomescale high-throughput techniques become more routine. The problems are sufficiently different enough from traditional data mining problems (outside of life sciences) that novel approaches must be taken to data mine in this area. The workshop was held in Seoul, Korea, on September 11, 2006. We received 30 submissions in response to the call for papers. Each submission was assi
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