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Visual data mining - Theory, techniques and tools for visual analytics


Visual data mining - Theory, techniques and tools for visual analytics. Edited by: Simoff, Simeon J; Böhlen, Michael H; Mazeika, Arturas (2008). Heidelberg, DE: Springer Verlag.

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13 citations in Web of Science®
1 citation in Scopus®

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Additional indexing

Item Type:Edited Scientific Work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2008
Deposited On:01 Jun 2012 13:45
Last Modified:05 Apr 2016 15:26
Publisher:Springer Verlag
Series Name:Lecture Notes in Computer Science
Volume:4404
ISSN:0302-9743
ISBN:978-3-540-71079-0
Publisher DOI:10.1007/978-3-540-71080-6
Official URL:http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-540-71079-0
Related URLs:http://opac.nebis.ch/F/?local_base=NEBIS&CON_LNG=GER&func=find-b&find_code=SYS&request=005682986
Other Identification Number:merlin-id:6166

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