Using quantitative information for efficient association rule generation
نویسندگان
چکیده
منابع مشابه
Multidimensional Quantitative Rule Generation
Data mining is a technology development in the present decade for guiding decision making. One of the main applications of data mining is exploration of Association Rules. The objective of the research is to find out the association rules for the sample dataset to find out the interesting and useful rules. A lot of modifications have been suggested over the last two decades for the traditional ...
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As the information is increasing day by day, there is abundance of data but it is not very easy to draw the accurate or required knowledge. Improved and efficient mining techniques are needed to acquire the useful knowledge. In this paper, an algorithm is proposed that is based on count and record filtering techniques. Count based method is used for pruning of candidate itemset and record filte...
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Mining association rules is a popular and well researched method for discovering interesting relations between variables in large databases. A practical problem is that at medium to low support values often a large number of frequent itemsets and an even larger number of association rules are found in a database. A widely used approach is to gradually increase minimum support and minimum confid...
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There are different university offering different types of courses over several years, and the biggest issue with that is how to get information to make course more effective. Association rule mining can be used to evaluate the course effectiveness and helps to look for in regards to changes in performance of the course. For Example there is a course offering different topics. We can say that t...
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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 problems are needed. This paper presents an efficient version of apriori algorithm for mining multi-level association rules in large databases to fi...
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ژورنال
عنوان ژورنال: ACM SIGMOD Record
سال: 2000
ISSN: 0163-5808
DOI: 10.1145/369275.369278