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Proceedings of
International Conference on Advanced Computing, Communication and Networks CCN 2011
"THEORETICALLY AND COMPARATIVELY ANALYSIS OF DIFFERENT FREQUENT PATTERN MINING ALGORITHMS"
GIRIJA SHANKAR DEWANGAN
SAMTA GAJHIYE
DOI
10.15224/978-981-07-1847-3-1027
Pages
78 - 80
Authors
2
ISBN
978-981-07-1847-3-1027
Abstract: “In this paper we are trying to comparing the different sequential data mining algorithms for finding the frequent data patterns. There are many algorithms have designed for finding the frequent data patterns from the transactional database. Transactional database have specified number of transactions itemsets T, which are used for knowledge discovery.”
Keywords: Sequential Data mining Algorithm, Aprori Algorithm, Top-K Closed Itemset frequent patterns mining, LCM (Linear Closed Itemset Mininer) algorithm.