A Survey on Efficient Algorithm for Mining High Utility Itemsets
نویسنده
چکیده
Efficient discovery of frequent itemsets in large datasets is a crucial task of data mining. From the past few years many methods have been proposed for generating high utility patterns, by this there are some problems as producing a large number of candidate itemsets for high utility itemsets and probably degrades mining performance in terms of speed and space. The compact tree structure which is proposed recently, viz., FP-Tree and UP-Tree, these maintains the information of transaction and itemsets, mining performance and avoid scanning original database repeatedly. In this paper to obtain a structured way up-tree is adopted, it scans the database only twice to obtain candidate items and manage them in an efficient data structured way. Applying UP-Tree to the UP-Growth takes more execution time for phase II. Hence in this paper we present the modified algorithm aiming to reduce the execution time by efficiently identifying high utility itemsets.
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