文章基本信息

标题：A Survey Paper For Finding Frequent Pattern In Text Mining
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作者：Sonam Tripathi ; Tripti Sharma
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：993-997
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In text document, huge data mining techniques have been used for mining useful pattern. Text mining can be used to extract the large database or datasets from the document or paragraph. The text mining is used on existing term-based approach and produces the problem of polysemy and synonymy. The frequent pattern based approach performs better than the term-based ones, but sometime this experiment is not working. This paper includes the process of pattern deploying and pattern evolving and improves the effectiveness of discovering patterns for finding useful information
关键词：Data mining; text mining; frequent pattern ; mining; term-based method; pattern evolution