SELECTING REVIEWERS FOR RESEARCH BY CLUSTERING PROPOSALS USING EXPECTA TION MAXIMIZA TION CL USTERING ALGOITM

摘要

In many governments and private institutions, one of the major tasks is to select the best project proposals for allocating the fund. These funding organizations select the proposals by submitting them to the reviewers for review. Manual process is too difficult when the number of projects is more. The earlier models introduced ontology based Text mining methods to cluster the proposals of any language without considering the reviewer's expertise with respect to their domain. The proposed method identifies the main topic of project in a hasty manner by using ontology based topic identification algorithm. It uses EM algorithm to group the proposals based on their domain, issues and technology for selecting the expertise in the domain for review. This approach gives better performance by allocating proposal to the appropriate reviewers.