Study on Data Mining Techniques and Algorithms of Association Rules Data Mining

Abstract:

With the rapid development of network and database technology, data need to be processed massively increased, how to carry out effective data mining is a serious problem. The mature development of granular computing algorithm provides new ideas and new methods to study for data mining. Association rules of granular computing can reduce the number of object scanning data set, and improve the efficiency of the algorithm. In this paper we introduce the data source, classification, technology, system structure, operation process, application in other areas of data mining technology. Based on association rules of granular computing, data mining technology can provide quantitative basis for enterprise in screening assessment, so the service object has a stronger competitive advantage and focus more on its problems.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2040-2044
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2040
• Online since: March 2014
• Authors: Yan Bo Wang*
• Keywords: Apriori Algorithm, Association Rule, Data Mining (DM), Data Mining Platform, Granular Computing

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DOI: 10.1145/170036.170072

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