期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：47
期号：3
出版社：Journal of Theoretical and Applied
摘要：The proposed framework for agent based feature selection and classification system works with the help of software agents. These agents are rule based and are able to guide the user in feature selection and classification. With number of feature selection and classification algorithms available the framework paves way for an integrated approach in feature selection and classification. Initial results with partially implemented system prove to be promising in the field of machine learning. The algorithm was used on a live web site data for three years and the results were mined using the framework. The results give hope to show that agent based decision making can be very useful for persons who do not have idea of mining but are decision makers.
