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2014 | OriginalPaper | Chapter

Alarm Association Rules Mining in Distributed Database

Authors : Chao Chen, Tongyan Li

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

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Abstract

In order to conduct more conveniently the alarm correlation analysis in distributed databases recently, this chapter presented a novel algorithm FPT-DM for distributed association rules mining. FPT-DM uses FP-tree structure to generate local large itemsets and exchanges messages between two sites in the network, for this method has low time complexity and communication overload. Experiment results showed that FPT-DM was feasible and efficient. Compared with classical distributed algorithms, FPT-DM can improve 40 % efficiency.

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Title: Alarm Association Rules Mining in Distributed Database
Authors: Chao Chen
Tongyan Li
Publisher: Springer New York
Book: Unifying Electrical Engineering and Electronics Engineering
Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-1-4614-4981-2_219