Research on the Customer Knowledge Acquisition in the Network Based on the Association Analysis

Abstract:

More and more customers participate in the network, resulting in a large amount of information related to the customers, it is necessary for the enterprises to gain the useful customer knowledge from these information. The paper adopts the Apriori algorithm realizing the association analysis through the JAVA language, finally, the examples are used to illustrate the effectiveness of the method.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 4514-4517
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.4514
• Online since: March 2014
• Authors: Zhen Li*, Shun Sheng Guo, Heng Chuan Zhang, Guo Tai Xiong
• Keywords: Apriori Algorithm, Association Analysis, Customer Knowledge, Network Environment

References

[1] Y. H. Lu, Y. H. Li, Mining and Managing Customer Knowledge in Networked Environment, E-business Journal, 12(2007)32-36.

[2] L. J. Niu, Q. CH. Lu, Study on the Customer Knowledge Acquisition Process of E-business Enterperises, Journal of Information, 6(2007)18-20.

[3] J. J. Cai, Y. F. Zhang, Research on the Customer Knowledge Mining Model of Enterprise E-commence, Jiangsu Commercial Forum, 8(2012)52-55.

[4] W. Cao, A. B. Zhu, Y. B. Xie, J. N. Li, Research on Knowledge Acquisition From the Network Resource under Distributed Environment, Machine Design and Research, 3(2011)8-11.

[5] H. Q. Wang, Y. H. Liu, The Study on a Knowledge Acquisition Model of Enterprise Customers in SNS Environment, Modern Information, 6(2011)21-24.

[6] X. Y. Gao, Y. X. Shi, Study on Customers Knowledge Acquisition Based on SNS, Shanxi Library Journal, 2(2012)15-19.

[7] L. W. Guo, Study on Knowledge Exchange and Dissemination Based on the Micro-blog Community , Wuhan: Huazhong Normal University, (2012).

[8] D. Y. Lin, Micro-blogs Information Mining Based on Hadoop, Computer CD Software and Applications, 1(2012)7-8.

[9] W. J. You, M. Xia, L. Liu, D. Liu, Customer knowledge discovery from online reviews, Electronic Markets, 3(2012)2124-2138.

[10] K. Y. Wang, L. Y. Qi, Research on the Customer Knowledge Acquisition based on Text Clustering, Chinese Journal of Management, 3(2007)273-278.

[11] N. L. Shen, X. M. Zhang, B. Dan, Customer Knowledge Acquisition with Value Orientation in Composite Channels, Scientific Management Research, 6(2007)59-62.

[12] X. Q. Zhong, H. G. Fu, L. She, B. Huang, Geometry Knowledge Acquisition and Representation on Ontology, Chinese Journal of Computer, 1(2010)167-174.

DOI: 10.3724/sp.j.1016.2010.00167

[13] Y. Yu, X. W. Jiang, W. H. Huang, The Research on Knowledge Acquisition Based on Rough Set Theory and Genetic Algorithm, Journal of Astronautics, 3(2001)114-118.

[14] Y. Yin, R. Y. Sun, Knowledge Acquisition Approach Based on Fuzzy-rough Set, Journal of Astronautics, 5(2006)108-111.