Towards smart advisor's framework based on multi agent systems and data mining methods

Abstract

Data mining is a method for extraction hidden pattern from huge data sets. It can be help us to use this information for predicting future and offer solution or suggest an option. On the other hand many applications need to know customer's behavior and suggest best option to them. These applications are distributed and can be implemented by multi agent system to use advantages of autonomous intelligent agents. In this paper we present an automated approach for a recommendation system using autonomous intelligent agent with data mining techniques. A case study has been implemented and examined under mentioned situations. © 2013 Springer-Verlag GmbH.