Data processing: database and file management or data structures – Database design – Data structure types
Patent
1997-02-20
1998-11-03
Black, Thomas G.
Data processing: database and file management or data structures
Database design
Data structure types
707 1, 707 7, 707512, 707533, 707 3, G06F 1730
Patent
active
058324828
ABSTRACT:
For mining causality rules in an event database, the rules are obtained by iteratively generating candidate rules and counting their occurrences in the event database. Newly identified causality rules are used to generate the next set of candidate rules to be evaluated, by increasing the size of the set of consequential events triggered by triggering events and/or the number of triggering events. The preferred embodiment uses an iterative approach to deriving the causality rules in order of the consequential set sizes and triggering set sizes. The detection of an occurrence of a causality rule in an event sequence is handled as a sub-sequence matching problem using a novel hierarchical matching method to improve efficiency.
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Chen Ming-Syan
Liang Bob Chao-Chu
Yu Phillip Shi-lung
Black Thomas G.
Block Marc S.
Doougherty Anne Vachon
International Business Machines - Corporation
Mizrahi Diane D.
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