An Improved Progressive Sampling based Approach for Association Rule Mining
نویسندگان
چکیده
منابع مشابه
An Efficient Approach for Association Rule Mining
A great research work has been done in last decade in association rules mining (ARM) algorithms . Therefore, various algorithms were proposed to discover frequent item sets and then mine association rules. Apriori algorithm is the most frequently used algorithm for generating association rules. Apriori algorithm has some abuses, such as too many scans of the database, large load of system’s I/O...
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ABSRACT Mining Association Rules from huge databases is one of the important issue that need to be addressed. This paper presents a new sampling based association rule mining algorithm that uses a progressive sampling approach based on negative border and Frequent pattern growth (FP Growth) algorithm for finding the candidate item sets which ultimately shortens the execution time in generating ...
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In this paper, we study the issue of maintaining association rules in a large database of sales transactions. The maintenance of association rules can be mapped into the problem of maintaining large itemsets in the database. Because the mining of association rules is time-consuming, we need an efficient approach to maintain the large itemsets when the database is updated. In this paper, we pres...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017913928