Design and Implementation of Office Management System in Small and Medium Sized Enterprises Based on Data Mining Technology

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Abstract:

This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on K mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.

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300-305

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Geng Weixin. Application of fuzzy clustering in bank customer segmentation. Master thesis. University of International Business and Economics, (2007).

Google Scholar

[2] Lang Songzhen. Competitive intelligence and enterprise competitiveness [M]. Beijing: Huaxia publishing house, 2001: 252.

Google Scholar

[3] Bao Changhuo, Xie Xinzhou. Enterprise competitive intelligence system [J]. China information guidance. 2001: 33-36.

Google Scholar

[4] Zhang Jianping, Liu Xiyu. Research and application of K-means algorithm based on clustering analysis [J]. Application Research of computers, 2007, 24 (5): 166-168.

Google Scholar