A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets
B. Jayanthi, Dr.K. Duraiswamy · International Journal of Computer Applications · 2012
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns.There are techniques such as Apriori and FP-Growth, which were typically restricted to a single concept level.We extend our research to discover cross -level frequent patterns in multi-level environments.Unfortunately, little research has been paid to this research area.Mining cross -level frequent pattern may lead to the discovery of mining patterns at different levels of hierarchy.In this study a transaction reduction technique with FP-tree based bottom up approach is used for mining cross-level pattern.This method is using the concept of reduced support.