期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：16
页码：3974
出版社：Journal of Theoretical and Applied
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.
关键词：Text Mining; Pattern Evolving; Pattern Deploying; Information Retrieval; Pattern Taxonomy Model; Data Mining Techniques
