Pattern-Based Text Mining Method For Classification of Research Proposals
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 3
Abstract
Research proposal classification is an important task for private research funding agencies. When a large number of research proposals are received, it is common to group them according to their similarities in research disciplines. Current methods for grouping proposals are based on manual matching of similar research discipline areas and/or keywords. This paper presents a pattern-based text-mining approach to classify research proposals based on their similarities in research areas. This paper focus on developing efficient mining algorithm for discovering patterns from large data collection and search for useful and interesting patterns. In the field of text mining, pattern mining techniques can be used to find various text patterns, such as frequent itemsets, closed frequent itemsets, cooccurring terms. This paper presents an innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. In proposed system we can take sufficient .txt file as inputs and we apply various algorithms and generate expected results.
Authors and Affiliations
Urmila M. R
Keywords
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