Analytical Study and Newer Approach towards Frequent PatternMining using Boolean Matrix
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract : The difficulty of association rule mining for objects in a massive database is to locate huge frequentpatterns and relation among objects in a pattern from database entries has been examined with various differentalgorithms. But Apriori algorithm include plenty of challenges like vast amount of database check for creatingbig pattern and doing support calculation, great number of candidate findings. These comprised in this paperand impact to these a newer algorithm FPMBM (Frequent Pattern Mining with Boolean Matrix) has beenconsidered. This newer algorithm uses a boolean matrix k-pattern for all patterns materialize in transactions. Alist is maintained to short out the number of loops for patterns creation as well as only single database scan isfollowed in advance stage i.e. at the time of vertical database conversion
Authors and Affiliations
Paresh Tanna , Dr. Yogesh Ghodasara
Keywords
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