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Data science and classification: studies in classification, data analysis, and knowledge organization

By: Batagelj, Vladimir [Author] | Bock, Hans-Hermann [Co-Author] | Ferligoj, Anuska [Co-Author] | Ziberna, Ales [Co-Author]Language: English Publication details: Heidelberg: Springer, 2006. Description: xii, 358p.; 22cmsISBN: 9783540344155Subject(s): Data science | Classification and clustering | Data and web miningDDC classification: 005.7 B38
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005.7 B38 (Browse shelf(Opens below)) Available 3287

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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