An Improving Performance of Data Mining Using Intelligent Agent System Methods

Abstract

Our objective of this paper is how we can utilize intelligent techniques in data mining to take decisions which we can use very much in Data Analytics, Credit Card fraud detection and other applications. The author describes that we can develop intelligent software which combines intelligent techniques and data mining and provides solutions for business analysis. Nowadays, Intelligent Agents are widely used in Data Mining because of their flexibility, modularity and general applicability to a wide range of problems. Technological developments in distributed computing, robotics and the emergence of object-orientation have given rise to such technologies to model distributed problem solving. Techniques such as pattern recognition, machine learning, and neural networks have received much attention. Other techniques in Intelligent Agents such as knowledge acquisition, knowledge representation, and search, are relevant to the various process steps in DM. The aim of intelligence is to discover mechanisms of adaptation in a changing environment with utilisation of intelligence, for instance in the ability to exclude unlikely solutions. Intelligence methods have extensive application in different fields such as software, medicine, games and transportation. This paper deals with interdisciplinary issues-interconnection of intelligence and data mining. The main goal of this paper is to point out the intelligence techniques that can be utilised in data mining application and to provide an overview of research undertaken in this field.