Call For Paper Volume:4 Issue:9 Sep'2017 |

Efficient Pattern-Based Query search in Text Documents

Publication Date : 06/07/2015



Author(s) :

Rosemary Varghese , Kala Karun.


Volume/Issue :
Volume 2
,
Issue 7
(07 - 2015)



Abstract :

Abstract: Text mining is a technique that helps the user to find useful information from a large amount of digital text document. It is a challenging issue to find accurate knowledge (or features) in text documents to help users to find what they want. Most existing text mining methods adopted term-based approaches, but they all suffer from the problem of polysemy and synonymy. Text mining is a technique that helps the user to find useful information from a large amount of digital text document. It is a challenging issue to find accurate knowledge (or features) in text documents to help users to find what they want. Most existing text mining methods adopted term-based approaches, but they all suffer from the problem of polysemy and synonymy. The effective usage and updating of discovered patterns is still an open research issue. Pattern deploying and pattern evolving method has also been proposed in order to refine the patterns that help in improving the effectiveness of pattern discovery. There are two phases that we need to consider when we use pattern-based models in text mining: one is how to discover useful patterns from digital documents, and the other is how to utilize these mined patterns to improve the system’s performance. The new approach use pattern (or phrase)-based approaches which perform better in comparison studies than other term-based methods. It uses a pattern taxonomy model. In pattern taxonomy model, given documents are separated into different paragraphs. Keywords— Pattern based approach, pattern Taxonomy model, pattern mining, Information retrieval


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Efficient Pattern-Based Query search in Text Documents

July 2, 2015