Survey of a Multi-Agent System for Distributed Data Mining
Abstract
The main purpose of data mining is to extract information from a data set and then transform into understandable form. It extracts and analyses data to present it in a conceivable form. Distributed data mining is based on the architecture of multi-agent systems. The problem of distributed data mining is very important in networks. This paper focuses on DDM algorithms in the context of multi agents It provides the communication between the DDM and MAS. It then focuses on applications in multi-agent based system and distributed clustering algorithms. It is based on the algorithms for distributed clustering, including its privacy.
Keywords: multi-agent systems, clustering, privacy, entropy, asynchronous, network, agent, cluster.
Published
2017-06-30
How to Cite
S. Aswanandini. (2017). Survey of a Multi-Agent System for Distributed Data Mining. International Journal of Innovative Computer Science & Engineering, 4(3). Retrieved from https://ijicse.in/index.php/ijicse/article/view/101
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Articles