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Mining Statistically Important Equivalence Classes
Published on Aug 14, 20073952 Views
The support condence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that efectively simplifies the search lattice. This computational convenience brin
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Chapter list
Mining Statistically Important Equivalence Classes and Delta Discriminative Emerging Patterns00:03
The Research Problem00:35
Objectives01:11
New Problem02:28
Contribution03:56
A Data Set04:42
Frequent Itemsets (Patterns)05:01
Equivalence Classes05:14
Closed Patterns and Generators06:21
An Example06:51
Observation 107:10
Observation 207:42
Computational Steps09:56
Revised FP-Tree for Pruning Non-Generators11:49
To Identify Closed Patterns in Parallel12:51
An Option to Find13:27
Performance Comparison pt 113:49
Performance Comparison pt 215:03
Performance Comparison pt 315:06
Conclusion15:55