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FREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATA
2014
Journal of Computer Science
Frequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number of cooccurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless information is extraordinarily useful in real-time applications. In this study, we propose a technique uses FP-tree for mining frequent correlated in
doi:10.3844/jcssp.2014.2105.2116
fatcat:boyh7n3isfgz5bzw3flirgazwu