An Efficient Agent based Framework

Atteya, Walid Adly, Dahal, Keshav and Hossain, Alamgir (2011) An Efficient Agent based Framework. In: The 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA 2011), 8-11 September 2011, University of Sannio, Benevento, Italy.

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Abstract

Many algorithms have been proposed for the discovery of association rules. The efficiency of these algorithms needs to be improved to handle real-world large datasets. Specifically, for data stored in heterogeneous and geographically distributed healthcare centers. This efficiency can be determined mainly by three factors. The way candidates are generated, the way their supports are counted and the data structure used. Most papers focus on the first and the second factors while few focus on the underlying data structures. In this paper, we present a distributed Multi-Agent based algorithm for mining association rules in distributed environments. The distributed MAS algorithm uses Bit vector data structure that was proved to have better performance in centralized environments. The algorithm is implemented in the context of Multi-Agent systems and complies with global communication standard Foundation for Intelligent Physical Agents (FIPA). The distributed Multi-Agent based algorithm with its new data structure improves implementations reported in the literature that were based on Apriori. The algorithm has better performance over Apriori-like algorithms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: association rules, multi-agent system,distributed data mining
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Ay Okpokam
Date Deposited: 19 Jan 2012 13:48
Last Modified: 13 Oct 2019 00:31
URI: http://nrl.northumbria.ac.uk/id/eprint/4577

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