Discovering Interesting Association Rules: A Multi-objective Genetic Algorithm Approach
نویسندگان
چکیده
منابع مشابه
Discovering Interesting Association Rules: A Multi-objective Genetic Algorithm Approach
Association rule mining is considered as one of the important tasks of data mining intended towards decision making process. It has been mainly developed to identify interesting associations and/or correlation relationships between frequent itemsets in datasets. A multi-objective genetic algorithm approach is proposed in this paper for the discovery of interesting association rules with multipl...
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Association rule mining problem attracts the attention of researchers inasmuch to its importance and applications in our world with the fast growth of the stored data. Association rule mining process is computationally very expensive because rules number grows exponentially as items number in the database increases. However, Association rule mining is more complex when we introduce the quality ...
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Association Rule Mining is one of the most well liked techniques of data mining strategies whose primary aim is to extract associations among sets of items or products in transactional databases. However, mining association rules typically ends up in a really large amount of found rules, leaving the database analyst with the task to go through all the association rules and find out the interest...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2013
ISSN: 2249-0868
DOI: 10.5120/ijais12-450873