A Classification of Methods for Frequent Pattern Mining

Provided by: Iosrjournals
Topic: Data Management
Format: PDF
Data mining refers to extracting knowledge from large amounts of data. Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. Frequent item sets are one of the emerging tasks in data mining. A many algorithms have been proposed to determine frequent patterns. Apriori algorithm is the first algorithm proposed in this field. An Apriori algorithm having two major limitations first generate huge candidate item sets and second more times scan the database. Problem, to be solved some methods for frequent item set mining in the paper.

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