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Vol. 161, Issue 12, December 2013, pp. 6-13




Research on Rough Set Based Network Pattern Recognition Model

Yunnan Normal University Business School, Kunming, 650106, China


Received: 25 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: According to high development of web technologies, the amount of data has been increased rapidly. Data mining and pattern recognition of web data has become more and more important for both individuals and companies. What's more, an increasingly number of users trend to do more their daily work to internet, which makes it more difficult to analyze and mine these large amount of data. Conventional network pattern recognition model can't handle these big data effectively. Therefore, this paper designed a new rough set based network pattern recognition model, presented the Bayesian network structure and designed the rough set classified model for classifier. Finally, this paper designed a set of experiment to demonstrate the performance and quality of rough set based network pattern recognition model, the result shows it can work effectively with a higher accuracy and performance.


Keywords: Pattern Recognition, Rough Set, Bayesian Network.


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