Evaluating the correlation between objective rule interestingness measures and real human interest

Carvalho, D.R. and Freitas, A.A. and Ebecken, N. (2005) Evaluating the correlation between objective rule interestingness measures and real human interest. In: Jorge, A. and Torgo, L. and Brazdil, P. and Camacho, R. and Gama, J., eds. Knowledge discovery in databases -- PKDD 2005. Lecture Notes in Artificial Intelligence - LNAI, 3721. Springer Verlag pp. 453-461. ISBN 978-3540292449. (The full text of this publication is not available from this repository)

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Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: data mining, classification rules, rule interestingness
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:02
Last Modified: 11 May 2012 14:30
Resource URI: http://kar.kent.ac.uk/id/eprint/14243 (The current URI for this page, for reference purposes)
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