AN OVERVIEW OF EXISTING MULTI-AGENT SYSTEMS FOR DATA MINING PROBLEM SOLVING
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 3
Abstract
The paper analyzes the multi-agent systems for data mining of large amounts of data, which are considered as a set of intellectual agents and relationships between them. It is shown that the process of data analysis includes the stage of data integration, pre-processing, classification, clustering, the definition of associative rules and the presentation of data in the form of a knowledge base. As evaluation parameters are used such parameters as: evaluation of work with data and the knowledge base creation, evaluation of system architecture organization and system processes execution, agents learning efficiency, evaluation of functional elements interaction, evaluation of “man – machine” interaction, efficiency of hardware and software resources usage. The example of a web-service indicates the problems that arise during a multi-agent system for data mining development process.
Authors and Affiliations
В. С. Яременко
Keywords
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