Algorithm for Efficient Multilevel Association Rule Mining
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 5
Abstract
over the years, a variety of algorithms for finding frequent item sets in very large transaction databases have been developed. The problems of finding frequent item sets are basic in multi level association rule mining, fast algorithms for solving roblems are needed. This paper presents an efficient version of apriori algorithm for mining multi-level association rules in large databases to finding maximum frequent itemset at lower level of abstraction. We propose a new, fast and an efficient algorithm (SC-BF Multilevel) with single scan of database for mining complete frequent item sets. To reduce the execution time and increase throughput in new method. Our proposed algorithm works well comparison with general approach of multilevel association rules.
Authors and Affiliations
Pratima Gautam , Dr. K. R. Pardasani
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