A Multi-Agent Distributed Data Mining Model Based on Algorithm Analysis and Task Prediction

This paper accentuates an approach of implementing Distributed Data Mining using Multi-Agent technology and proposes a Multi-Agent Distributed Data Mining model. Each Agent is only responsible for specific duties. Agents communicate and coordinate with each other, which enhances the privacy and conf...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Dan Zhou, Wenbi Rao, Fangsu Lv
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Algorithm design and analysis
Analytical models
Data mining
Data models
Load modeling
Prediction algorithms
Predictive models
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Summary:This paper accentuates an approach of implementing Distributed Data Mining using Multi-Agent technology and proposes a Multi-Agent Distributed Data Mining model. Each Agent is only responsible for specific duties. Agents communicate and coordinate with each other, which enhances the privacy and confidentiality of data. An Algorithm Analysis Agent is presented to improve the intelligence and efficiency of Data Mining Agent in the model. To improve the performance of communication between Agents and reduce the pressure of network bandwidth, Load Balancing Agent and Task Prediction Agent are put forward. It also makes the performance comparison with the traditional Distributed Data Mining model.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678352