Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
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Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Studies in Classification, Data Analysis, and Knowledge Organization |
Release date | July 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Editors | Vladimir Batagelj, Hans Hermann Bock, Anuska Ferligoj, Ales Ziberna |
Dimensions | 235 x 155 x 19mm (L x W x T) |
Format | Paperback |
Pages | 358 |
Edition | 2006 ed. |
ISBN-13 | 978-3-540-34415-5 |
Barcode | 9783540344155 |
Categories | |
LSN | 3-540-34415-2 |