Abstract:
Data mining is the process of analyzing
large data sets in order to find patterns. Mining
frequent patterns is a fundamental and crucial task in
data mining problems. The association rule mining
is needed in order to search for interesting
relationship among items from a very large database.
FP-Growth algorithm that allows mining of the
frequent itemsets without candidate generation. In
this paper, implement the pattern growth approach
(FOLD-Growth) algorithm is used to analyze
transaction database in the real world.
