Data Science and Classification, 2006 Studies in Classification, Data Analysis, and Knowledge Organization Series
Coordonnateurs : Batagelj Vladimir, Bock Hans-Hermann, Ferligoj Anuška, Žiberna Aleš
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.
Provides new methodological developments in data analysis and classification
Offers application advice for a variety of problems
Helps researchers choose among newly developed analytical tools
Date de parution : 07-2006
Ouvrage de 358 p.
15.5x23.5 cm