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Year : 2017, Volume : 7, Issue : 2
First page : ( 214) Last page : ( 219)
Print ISSN : 2277-7938. Online ISSN : 2277-7946. Published online : 2017 October 1.
Article DOI : 10.5958/2277-7946.2017.00016.X

Data Mining: An Overview

Singh Prerna1,*

1Assistant Librarian, Central University of Jammu, Jammu-180011, Jammu and Kashmir, India

*E-mail id: cujammu.prerna@gmail.com, prerna@cujammu.ac.in

Abstract

The present study provides information about the data-mining techniques. The data mining process helps in analysis of data and retrieval of useful and unknown information. There are different techniques that come under the data-mining process like classification, clustering, prediction, association rule mining and web mining. Commercial as well as free software are available for the analysis of data. With the ever ending growth of data in different sectors which may be industry or academia, data-mining techniques have potential applications.

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Keywords

Classification, Clustering, Web mining, Weka, Knowledge discovery in databases (KDD), Statistical Analysis System (SAS), Group Method of Data Handling (GMDH).

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