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A new algorithm of the data mining model in cloud computing based on web fuzzy clustering analysis.
Author(s):
1. Xianfeng Yang: School of Information and Engineering, Henan Institute of Science and Technology, Henan Xinxiang, China
2. Pengfei Liu: HEBI College of Vocation and Technology, Henan Hebi, China
Abstract:
Cloud computing are Internet-based services to increase the use and delivery models, usually involving the Internet to provide easy to dynamically scalable and often virtualized resources. To solve these problems, the proposed web data mining method based on cloud computing: the massive data mining tasks decomposed into parallel processing on multiple servers. Web fuzzy clustering of objects is given Web object collection, object properties of the source data, and its direct role object is a Web fuzzy similarity matrix or the Web, fuzzy equivalent matrix. The paper presents the new algorithm of the data mining model in cloud computing base on web fuzzy clustering analysis. The experimental results show that this method can effectively improve the performance of data mining.
Page(s): 266-273
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 49, Issue: 1, Year: 2013
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