Parallelizing these operations may produce a significant speedup and thereby take the data mining technology more effective. Detecting emergence or outbreak of diseases from the stream of volumnous incoming data or tracking the financial trajectories in business may give us few hints about the practical importance of better response time for large scale data mining problems. The goal of this project is to develope a distributed agent based data mining system that offers good response time using scalable data mining and data accessing operations. A data mining agent specializes in performing some activity in the domian of interest. In the current implementation data mining agents specializes on text classification.
Agents work in parallel and share their information through the facilitator.
The facilitator module coordinates the agents, presents information to the user interface, and provides feedbacks to the agents from the user. The web based user interface interactively presents data to the user and collects user instructions. The user interface is written for Java sensitive browser. Agents comes up with the extracted information relevant to the query. Facilitator collects the information and presents it to the user.