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Efficient Updating of Discovered Patterns for Text Mining: A Survey
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 58 - Number 1 |
| Year of Publication: 2012 |
| Authors: Anisha Radhakrishnan, Mathew Kurian |
10.5120/9248-3412
|
Anisha Radhakrishnan, Mathew Kurian . Efficient Updating of Discovered Patterns for Text Mining: A Survey. International Journal of Computer Applications. 58, 1 ( November 2012), 29-33. DOI=10.5120/9248-3412
Abstract
Text mining is the techniques of retrieving interesting information from the text document. Through the devising of patterns, we can retrieve high-quality information. There are many techniques for mining the useful patterns from the text document. Researchers are still going in efficient updating of discovered pattern. Polysemy and synonymy are the problem faced in term based approach. Phrase based approach also did not provide the efficient results. This paper presents an outline of effectiveness of using and updating patterns for finding interesting and relevant information from the text document by using two methods pattern evolving and deploying.
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