A Process to Comprehend Different Patterns of Data Mining Techniques for Selected Domains

Abstract

This has much in common with traditional work in statistics and machine learning. However, there are important new issues which arise because of the sheer size of the data. One of the important problems in data mining is the Classification rule learning which involves finding rules that partition given data into predefined classes. In the data mining domain where millions of records and a large number of attributes are involved, the execution time of existing algorithms can become prohibitive, particularly in interactive applications. 

Authors and Affiliations

Reshma Sultana , G. Vani , Managina Deepthi , PV Bhaskhar , Pedada Satish , Koppala KVP Sekhar

Keywords

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  • EP ID EP92799
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Reshma Sultana, G. Vani, Managina Deepthi, PV Bhaskhar, Pedada Satish, Koppala KVP Sekhar (2012).  A Process to Comprehend Different Patterns of Data Mining Techniques for Selected Domains. International Journal of Computer Science Engineering and Technology (IJCSET), 2(9), 1402-1405. https://europub.co.uk/articles/-A-92799