CLOLINK: An Adapted Algorithm for Mining Closed Frequent Itemsets
نویسندگان
چکیده
منابع مشابه
CLOLINK: An Adapted Algorithm for Mining Closed Frequent Itemsets
Mining of the complete set of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of closed frequent itemsets, which results in a much smaller number of itemsets. Methods for efficient mining of closed frequent itemsets have been studied extensively by many researchers using various strategies to prove their efficiencies such as Aprio...
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Association mining may often derive an undesirably large set of frequent itemsets and association rules. Recent studies have proposed an interesting alternative: mining frequent closed itemsets and their corresponding rules, which has the same power as association mining but substantially reduces the number of rules to be presented. In this paper, we propose an e cient algorithm, CLOSET, for mi...
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Extracting frequent itemsets is an important task in many data mining applications. When data are very large, it becomes mandatory to perform the mining task by using an external memory algorithm, but only a few of these algorithms have been proposed so far. Since also the result set of all the frequent itemsets is likely to be undesirably large, condensed representations, such as closed itemse...
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Closed itemsets are semantically equivalent to frequent itemsets but are orders of magnitude fewer, thus allowing the knowledge extracted from a transactional database to be represented very concisely. Unfortunately, no algorithm has been yet devised which allows to mine closed patterns directly. All existing algorithms may in fact generate the same closed itemset multiple times, and need to ma...
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ژورنال
عنوان ژورنال: Journal of Computing and Information Technology
سال: 2012
ISSN: 1330-1136,1846-3908
DOI: 10.2498/cit.1002017