A Review on Knowledge Discovery by Pattern Mining |
Author(s): |
| Niketa , SHRI SHANKARACHARYA GROUP OF INSTITUTIONS; Jharna Chopra, Shri Shankaracharya Group of Institutions |
Keywords: |
| Text Mining, Knowledge Discovers, Information Reclamation, Computational Linguistics |
Abstract |
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Data mining is the analysis of large quantity of data in order to discover useful patterns .The massive quantity of information stored in amorphous texts cannot be further processed by computers, which typically process text as simple pattern of character strings. Therefore, to mine useful information, there is a need for specific pre-processing method and algorithms. The unstructured texts are process to pullout interesting information or knowledge. In this paper we discuss text mining as a young and interdisciplinary field in the intersection of the related areas information reclamation, statistics, computational linguistics, machine learning and especially data mining. We describe the main analysis task such as preprocessing, clustering, information extraction, classification and visualization. In addition we discuss a number of successful applications in the field to text mining techniques. |
Other Details |
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Paper ID: IJSRDV4I31344 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1657-1660 |
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