G.S. Ivanova – Dr. Sc. (Eng.), Professor, Bauman Moscow State Technical University A.M. Andreev – Ph. D. (Eng.), Associate Professor, Bauman Moscow State Technical University V.I. Nefedov – Dr. Sc. (Eng.), Head of Department, MIREA (Moscow) M.A. Shouman – Post-graduate Student, MIREA (Moscow) E.V. Egorova – Ph. D. (Eng.), Associate Professor, MIREA (Moscow). Е-mail: calipso575@gmail.com
The World Wide Web offers a growing amount of information and data coming from different and heterogeneous sources. In recent times, the vast amount of textual information available in electronic form is growing at staggering rate. This increasing number of textual data has led to the task of mining useful or interesting frequent item sets (words/terms) from very large text databases and still it seems to be quite challenging. Problem solving solutions like Multi-Agent System (MAS) capitalizes on its multiple intelligent agents to receive precepts from the environment, process the information and produce the desired result for the environment.
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