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A method and algorithm of distributed mining association rules in synchronisms

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3 Author(s)
Ji-Fu Zhang ; Sch. of Electromech. Eng., Beijing Inst. of Technol., China ; Hong Shi ; Lian Zheng

Mining association rule is an important part of data mining. In this paper, a method and its algorithm DMAR of distributed mining association rules in synchronisms are presented in distributed transaction database environments by using meta-learning technology. The algorithm has higher mining efficiency and lower data communication amount. The distributed factor γ is also defined in the paper, which is to measure the efficiency of mining algorithm, and it is pointed out that the value of γ is related to mining efficiency and data communication amount. Experiments have been conducted to prove the correctness and efficiency of the algorithm DMAR.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:4 )

Date of Conference:

4-5 Nov. 2002

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