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Influences of Statistical Techniques in Data Mining and Warehousing Applications


Affiliations
1 Anna University of Technology, Coimbatore, India
2 Department of MCA, Sona College of Technology, Salem, India
     

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The significance of statistics plays a major role in society, business and government. In commercial applications, software tools are effectively applying the statistical techniques in order to improve the performance as well as to minimize the cost by drawing timely decisions. This paper focuses the significances of statistics in three main systems namely decision support system, data mining system and data warehousing system. This paper prominently contributes the roles of statistical techniques in DSS, DM and DW systems.

Keywords

Decision Support Systems, Data Mining, Data Warehousing, Business Intelligence, Data Cube, OLAP, MDDB.
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  • Influences of Statistical Techniques in Data Mining and Warehousing Applications

Abstract Views: 222  |  PDF Views: 2

Authors

M. Saravanamuthu
Anna University of Technology, Coimbatore, India
G. M. Kadhar Nawaz
Department of MCA, Sona College of Technology, Salem, India

Abstract


The significance of statistics plays a major role in society, business and government. In commercial applications, software tools are effectively applying the statistical techniques in order to improve the performance as well as to minimize the cost by drawing timely decisions. This paper focuses the significances of statistics in three main systems namely decision support system, data mining system and data warehousing system. This paper prominently contributes the roles of statistical techniques in DSS, DM and DW systems.

Keywords


Decision Support Systems, Data Mining, Data Warehousing, Business Intelligence, Data Cube, OLAP, MDDB.