Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22109
Title: Inter-transactional association rules for multi-dimensional contexts for prediction and their application to studying meteorological data
Authors: Feng, L
Dillon, T
Liu, J
Issue Date: 2001
Publisher: Elsevier Science Publishers B.V., Amsterdam, Netherlands
Source: Data and knowledge engineering, 2001, v. 37, no. 1, p. 85-115 How to cite?
Journal: Data and Knowledge Engineering 
Abstract: The inter-transactional association rule framework is improved by giving a more concise definition of inter-transactional association rules and related measurements. The closure property, theoretical foundations, multidimensional mining contexts, and performance issues in mining are investigated. The downward closure property problem within the framework is studied and a solution for efficient mining of inter-transactional association rule is proposed.
URI: http://hdl.handle.net/10397/22109
ISSN: 0169-023X
DOI: 10.1016/S0169-023X(01)00003-9
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