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A customizable multi-agent system for distributed data mining

Di Fatta, G. and Fortino, G. (2007) A customizable multi-agent system for distributed data mining. In: The 22nd ACM Symposium on Applied Computing (SAC 2007), March 11-15, 2007, Seoul, Korea, pp. 42-47.

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To link to this item DOI: 10.1145/1244002.1244012

Abstract/Summary

We present a general Multi-Agent System framework for distributed data mining based on a Peer-to-Peer model. Agent protocols are implemented through message-based asynchronous communication. The framework adopts a dynamic load balancing policy that is particularly suitable for irregular search algorithms. A modular design allows a separation of the general-purpose system protocols and software components from the specific data mining algorithm. The experimental evaluation has been carried out on a parallel frequent subgraph mining algorithm, which has shown good scalability performances.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:4491
Uncontrolled Keywords:Multi-Agent Systems; Distributed Data Mining; Agent Oriented Software Engineering; Dynamic Load Balancing; Peer-To-Peer Computing

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