A method and algorithm of distributed mining association rules in synchronisms

Author

Zhang, Ji-fu ; Shi, Hong ; Zheng, Lian

Author_Institution

Sch. of Electromech. Eng., Beijing Inst. of Technol., China

Volume

4

fYear

2002

fDate

4-5 Nov. 2002

Firstpage

2031

Abstract

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.

Keywords

associative processing; data mining; distributed databases; synchronisation; transaction processing; DMAR; data communication; data mining; distributed mining association rules; distributed transaction database environments; meta-learning technology; synchronisms; Association rules; Computer science; Data communication; Data engineering; Data mining; Distributed algorithms; Electronic mail; Itemsets; Sampling methods; Transaction databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1175394

Filename

1175394