Data mining technology has evolved, for extracting knowledge and identifying patterns and trends from large data resources. The data mining technology normally adopts data integration method to generate large go-down known as data warehouse, which is used to gather all data into a central repository, and then run an algorithm against that data to mine the useful patterns and knowledge evaluation. However, a single data-mining technique has not been proven suitable for every domain and data set. Distributed data mining is originated from the need of mining over decentralized data sources. Multi-Agent Systems (MAS), which are having Artificial Intelligence (AI), deal with complex applications that require distributed problem solving.