A Review of Various Methods for Association Rule Mining
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Abstract
Association rule mining is the process of finding interesting relationships between various data elements. As the size of database is growing so rapidly, efficient methods are required for finding association rules. This paper presents a review of various known and recently developed methods for finding association rules. Followed by the comparison of different methods and specifying which method is more efficient from other.
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