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. Top Keywords Classification, Clustering, Web mining, Weka, Knowledge discovery in databases (KDD), Statistical Analysis System (SAS), Group Method of Data Handling (GMDH). Top |
|
|
|
Access denied
Your current subscription does not entitle you to view this content or Abstract is unavailable, the access to full-text of this Article/Journal has been denied. For Information regarding subscription please click here.
For a comprehensive list of other publications available on IJour.net please click here
or, You can subscribe other items from IJour.net (Click here to see other items list.)
Top