Information Retrieval through Multi-Agent System with Data Mining in Cloud Computing

Problem solving solutions like Multi-Agent System (MAS) capitalizes on its multiple intelligent agents to receive precepts from the environment, process the information and produce the desired result for the environment. The wide scope of capabilities of an MAS permits the user to resolve functional, methodic, algorithmic or procedural query to explore and process the data. MAS are also referred as autonomous agents having the capability to resolve problems that are not possible for a single agent to handle. The aim of this research paper is to develop a practically implemented research model for the information retrieval using Multi-Agent System with Data Mining technique in a Cloud Computing environment. The paper will undertake a review of the existing literature available on this arena and develop an empirical model showing real time data flow through MAS with data mining after retrieval of meaningful information from data warehouse present in a cloud computing environment. In the end, paper will provide recommendations for the organizations for effective implementation and use.