Data science and classification: studies in classification, data analysis, and knowledge organization
Batagelj, Vladimir Bock, Hans-Hermann Ferligoj, Anuska Ziberna, Ales
Data science and classification: studies in classification, data analysis, and knowledge organization - Heidelberg: Springer, 2006. - xii, 358p.; 22cms.
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.
9783540344155
Data science
Classification and clustering
Data and web mining
005.7 B38
Data science and classification: studies in classification, data analysis, and knowledge organization - Heidelberg: Springer, 2006. - xii, 358p.; 22cms.
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.
9783540344155
Data science
Classification and clustering
Data and web mining
005.7 B38