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. We're currently assessing the performance of the system on clustering all the documents in a corpus as well as clustering a subset of the documents related through a select or join operation. Results of the experiments done so far on IMB SP2 at Argonne National Laboratory are summarized in the Tables 1,2, and 3. Table 1 presents the performance of clustering all the documents in a corpus. Table 2 and 3 presents the performance of applying select and join queries and clustering the resulting documents.