A customizable multi-agent system for distributed data miningDi 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, https://doi.org/10.1145/1244002.1244012.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1145/1244002.1244012 Abstract/SummaryWe 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.
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