Evaluation and optimization of frequent, closed and maximal association rule based classification
Real world applications of association rule mining have well-known problems of discovering a large number of rules, many of which are not interesting or useful for the application at hand.The algorithms for closed and maximal item sets mining significantly reduce the volume of rules discovered and c...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer US
2014
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/16645/ http://doi.org/10.1007/s11222-013-9404-6 |
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