A Survey on Text Document Clustering Methodologies Based On Similarity Measure |
Author(s): |
| R.Saranya , K.S.R COLLEGE OF ENGINEERING,TAMILNADU,INDIA; V.Sharmila, K.S.R COLLEGE OF ENGINEERING,TAMILNADU,INDIA; P.Balamurugan, K.S.R COLLEGE OF ENGINEERING,TAMILNADU,INDIA; R.Latha, K.S.R COLLEGE OF ENGINEERING,TAMILNADU,INDIA |
Keywords: |
| Data mining, Text mining, Document clustering, Similarity measure |
Abstract |
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Text data mining is research technologies to mine valuable knowledge from massive collections of documents and to improve a system to offer information and to support in decision making. Clustering is an automatic wisdom methodology aimed to combine a set of objects which are similar to each other. Text clustering has turned into a challenging process in recent centuries because of the massive quantity of unstructured data is presented in several formations. In Text document clustering grouping of text documents arises based upon their similarity. There are many rapid and high-excellence document clustering algorithms available which play a main role in efficiently establishing the information. In this paper we are going to discuss various methodology of clustering which is based on the document similarity. |
Other Details |
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Paper ID: IJSRDV3I70291 Published in: Volume : 3, Issue : 7 Publication Date: 01/10/2015 Page(s): 771-773 |
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