A SURVEY ON DEVELOPMENT OF PATTERN EVOLVING MODEL FOR DISCOVERY OF PATTERNS IN TEXT MINING USING DATA MINING TECHNIQUES

摘要

As the data increasing, retrieving useful information and knowledge for the users is an open issue in the text mining domain in spite of having many existed data mining techniques. We focused on this by conducting a survey over existed techniques with our new method called pattern discovery models. We found that the existed model yields few drawbacks like low frequency problem, effective usage of discovered patterns, noisy data, polysemy and synonymy etc. Most people felt with the hypothesis that pattern based methods will perform better than the term based techniques. We got support to prove our model is better example for effective use of patterns in text mining than the existed.