Data Science and Classification

Vladimir Batagelj

ISBN 10: 3540344152 / ISBN 13: 9783540344155

Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2006

Riguardo questo articolo

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.

Codice articolo LU-9783540344155

Dati bibliografici

• Titolo: Data Science and Classification
• Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540344152
• ISBN 13: 9783540344155
• Rilegatura: Paperback
• Edizione: 2006 ed.
• Condizione: New
• Dimensioni: 15,49 L x 2,13 A x 23,5 P centimetri 15,49 centimetri di larghezza per 2,13 centimetri di altezza per 23,5 centimetri di profondità

Descrizione articolo

Riassunto

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.

Recensione

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)