Data mining : concepts and techniques

Titolo Data mining : concepts and techniques
Autore Han Jiawei
Kamber Micheline
Editore Morgan Kaufmann
Elsevier Science & Technology
ISBN 9780080475585
1558609016
9781558609013
Soggetto Intelligenza artificiale
Analisi dei dati
Archivi di dati e conoscenza
Disciplina Informatica
Anno di pubblicazione 2006
Abstract 2nd edition
Data mining
Computer science
Data preprocessing. Data warehouse and OLAP technology : an overview. Data cube computation and data generalization. Mining frequent patterns, associations, and correlations. Classification and prediction. Cluster analysis. Mining stream, time-series, and sequence data. Graph mining, social network analysis, and multirelational data mining. Mining object, spatial, multimedia, text, and web data. Applications and trends in data mining. Appendix. An introduction to Microsoft's OLE DB for data mining.
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Collezione ProQuest Ebook Central (ex Ebrary)
Homepage editore http://site.ebrary.com.ezp.biblio.unitn.it/lib/trento/
Abstract editore This book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data, including stream data, sequence data, graph structured data, social network data, and multi-relational data.
Note Libro corso Facoltà di Economia Trento segnatura CORSO 02467
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