Editors:
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (37 papers)
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Front Matter
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Similarity and Dissimilarity
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Front Matter
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Classification and Clustering
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Front Matter
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Network and Graph Analysis
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Front Matter
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Reviews
From the reviews:
"This book is a collection of papers presented at the Tenth Conference of the International Federation of Classification Societies. The contributors are primarily statisticians and computer scientists … . The typesetting and page layout are well done, and the graphics are very clear. … The main market for this book would be libraries, and researchers wanting a record of recent advances in statistical learning." (Jeffrey D. Picka, Technometrics, Vol. 49 (3), August, 2007)
Editors and Affiliations
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Department of Mathematics, FMF, University of Ljubljana, Ljubljana, Slovenia
Vladimir Batagelj
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Institute of Statistics, RWTH Aachen University, Aachen, Germany
Hans-Hermann Bock
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Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia
Anuška Ferligoj, Aleš Žiberna
Bibliographic Information
Book Title: Data Science and Classification
Editors: Vladimir Batagelj, Hans-Hermann Bock, Anuška Ferligoj, Aleš Žiberna
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/3-540-34416-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-34415-5Published: 05 July 2006
eBook ISBN: 978-3-540-34416-2Published: 05 September 2006
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XII, 358
Number of Illustrations: 67 b/w illustrations
Topics: Library Science, Statistical Theory and Methods, Data Structures and Information Theory, Information Systems and Communication Service, Pattern Recognition, Statistics for Business, Management, Economics, Finance, Insurance