Mining of Frequent Itemsets with an Enhanced Apriori Algorithm

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. This classical algorithm is inefficient due to so many scans of database. And if the database is large, it takes too much time to scan the database. To reduce these two limitations, this paper proposes a new technique called TR-BAM for mining frequent patterns in large databases by implementing a Bit Array Matrix (BAM). The whole database is scanned only once and the data is compressed in the form of a Bit Array Matrix.
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