A Study of Different Association Rule Mining Techniques
نویسندگان
چکیده
منابع مشابه
A Study of Different Association Rule Mining Techniques
Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, w...
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OLAP is a multidimensional view of complete data in the data store used for multidimensional analysis. It is the most practical approach used in the data warehouse for analytical process of large data and provides tools for analytical and statistical analysis of data. While Association rule learning is a popular and researched method for discovering interesting relations between variables in ve...
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Association rule mining is a subfield of Data mining. It is a popular and widely used method to extract interesting and useful patterns from large sets of data. The first Rule Mining Algorithm was formulated by R. Agrawal in 1993. After the Apriori Algorithm formulated by R. Agrawal, many other algorithms have been proposed. Each of these algorithms has its own advantages and disadvantages over...
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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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Recently, the discovery of association rules has been the focus topic in the research area of data mining. For many applications, it is difficult to find strong associations among data items at low or primitive levels of abstraction due to the sparsity of data in multidimensional space. Mining association rules at multiple levels may lead to more informative and refined knowledge from data. The...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18994-0449