A Comprehensive Evaluation System of Association Rules Based on AHP

Jing Bo Yuan; Xiao Lin Wei; Shun Li Ding

doi:10.4028/www.scientific.net/AMM.427-429.1907

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429A Comprehensive Evaluation System of Association...

A Comprehensive Evaluation System of Association Rules Based on AHP

Abstract:

Association rules analysis is an important subject in data mining. At present, association rules mining algorithms frequently generate a large number of association rules, but most of the algorithm evaluations make advances only from an aspect, which makes the users select difficultly. Therefore, the comprehensive evaluation of association rules has become highly necessary. A comprehensive evaluation system of association rules based on the AHP (Analytic Hierarchy Process) was presented, which can evaluate the association rules from multi-angle and multi-dimensional. Many evaluation results are integrated into the system, eventually presenting a unified comprehensive coefficient to users. Practical data make it clear that the comprehensive evaluation system is rational and superior.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1907-1910

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1907

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Online since:

September 2013

Authors:

Jing Bo Yuan*, Xiao Lin Wei, Shun Li Ding

Keywords:

AHP, Association Rules Analysis, Data Mining (DM), Evaluation System

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* - Corresponding Author

References

[1] Zhou Xin, Sha ChaoFeng, Zhu YangYong, more authors. Interest Measure-another Threshold in Association Rules. Journal of Computer Research and Development, 2000, 37(5): 627-633.

Google Scholar

[2] Luo Ke, Xi DongMei. Mining Valid Association Rules. Mini-Micro Systems, 2005, 26(8): 1336-1337.

Google Scholar

[3] Elnaz Delpisheh, John Z. Zhang. A Dynamic Composite Approach for Evaluating Association Rules. 2011 Seventh International Conference on Natural Computation, 2011, pp.1893-1895.

DOI: 10.1109/icnc.2011.6022588

Google Scholar

[4] Zhao XiangHui, Liu Hui , Yi Jin, Liu YanZhao, Zhang Lei. Weighted Concise Association Rules Generation Under Weighted Support Framework. Computer Science and Automation Engineering (CASE), 2012, 5(3): 137-141.

DOI: 10.1109/csae.2012.6272925

Google Scholar

[5] Agrawal R, R Srikant. Fast Algorithms for Mining, Association Rules. Proc. 20th Int. Conf. Very Large Data outside, (1994).

Google Scholar

[6] http: /www. datatang. com/datares/go. aspx?dataid =613168.

Google Scholar