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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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1 citation in Scopus®

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Item Type:Edited Scientific Work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Theoretical Computer Science
Physical Sciences > General Computer Science
Language:English
Date:2008
Deposited On:01 Jun 2012 13:45
Last Modified:02 Jul 2021 20:20
Publisher:Springer Verlag
Series Name:Lecture Notes in Computer Science
Volume:4404
ISSN:0302-9743
ISBN:978-3-540-71079-0
OA Status:Closed
Publisher DOI:https://doi.org/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
Other Identification Number:merlin-id:6166

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