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Data Mining:Techniques and Applications-A Review


Affiliations
1 Department of Computing, Coimbatore Institute of Technology, Coimbatore, India
     

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Data mining is a process of discovering new information in terms of patterns or rules from a large volume of data. These data are stored in various heterogeneous databases. The heterogeneous databases such as transactional databases, object-relational databases, object-oriented databases, multimedia databases, spatial databases, spatio-temporal databases etc. are used to store the information.  This paper focuses on giving a brief idea of various data mining techniques such as Association, Classification, Prediction, Clustering, Outlier Analysis etc. This paper also focuses on the various applications where Data Mining Techniques can be used.


Keywords

Association, Classification, Prediction, Clustering, Outlier Analysis.
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  • Data Mining:Techniques and Applications-A Review

Abstract Views: 262  |  PDF Views: 1

Authors

S. Deivarani
Department of Computing, Coimbatore Institute of Technology, Coimbatore, India
S. Divya
Department of Computing, Coimbatore Institute of Technology, Coimbatore, India

Abstract


Data mining is a process of discovering new information in terms of patterns or rules from a large volume of data. These data are stored in various heterogeneous databases. The heterogeneous databases such as transactional databases, object-relational databases, object-oriented databases, multimedia databases, spatial databases, spatio-temporal databases etc. are used to store the information.  This paper focuses on giving a brief idea of various data mining techniques such as Association, Classification, Prediction, Clustering, Outlier Analysis etc. This paper also focuses on the various applications where Data Mining Techniques can be used.


Keywords


Association, Classification, Prediction, Clustering, Outlier Analysis.