Software Agents Paradigm in Automated Data Mining for Better Visualization Using Intelligent Agents

Data Mining techniques plays a vital role like extraction of required knowledge, finding useful information to make strategic decision in a novel way which in term understandable by domain experts. Users like expert user, novice user and connoisseur user in which expert user can complete process on its own knowledge while compared to novice user and connoisseur user because of their less domain knowledge. The inadequate lead to grow user like novice and connoisseur user more. With these properties they are not at all more significant users like expert users. By considering these aspects agents are implemented to perform the specified task on behalf of less domain user in which selection of appropriate mining techniques, appropriate algorithms, and proper decision making for producing better results. In these paper, multiple agents are considered to perform differ unique task with proper communication and collaboration with each agents in the name of automated process for better visualization and cluster detection for less domain users.