A Survey of Text Classification and Clustering Issues in Data Mining


Authors : M.A. MARIA PARIMALA, K. VINOTHA.

Volume/Issue : Volume 4 - 2019, Issue 2 - February

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/YdrwGv

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

Data mining is defined because the strategies to extract the records from huge quantity of information. It is the technique to outline to essential knowledge from the massive quantity of statistics stored in database or in the information warehouse. Clustering is an unmanaged technique of Data Mining. It manner grouping similar items collectively and setting apart the assorted ones. Clustering is to divide the facts in to comparable organization of facts the statistics institution can be together is referred to as clustering. The goal of this survey is to provide problems and challenges on clustering and class the usage of information mining techniques.

Keywords : Data Mining, Clustering, Classification, Clustering Algorithm.

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