Efficient Mining of the Most Significant Patterns with Permutation Testing
Published: Jul 19, 2018
Abstract
The extraction of patterns displaying significant association with a class label is a key data mining task with wide application in many domains. We study a variant of the problem that requires to mine the top-k statistically significant patterns, thus providing tight control on the number of patterns reported in output. We develop TopKWY, the first algorithm to mine the top-k significant patterns while rigorously controlling the family-wise...
Paper Details
Title
Efficient Mining of the Most Significant Patterns with Permutation Testing
Published Date
Jul 19, 2018
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