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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Sunday 24 November 2024

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A Comparative Study of Data Mining Process Models (KDD, CRISP-DM and SEMMA)


Volume 12, Issue 1, November 2014, Pages 217–222

 A Comparative Study of Data Mining Process Models (KDD, CRISP-DM and SEMMA)

Umair Shafique1 and Haseeb Qaiser2

1 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
2 Department of Information Technology, University of Gujrat, Gujrat, Pakistan

Original language: English

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Data Mining is about analyzing the huge amount data and extracting of information from it for different purposes. From the last few years the field of Data Mining becomes prominent and makes huge growth. There are different standard models for data mining. All these models are defined in sequential steps. These steps help in implementing the data mining tasks. In this paper we will compare these models and give brief understanding about them.

Author Keywords: Knowledge, Applications, Patterns, Modeling, Information.


How to Cite this Article


Umair Shafique and Haseeb Qaiser, “A Comparative Study of Data Mining Process Models (KDD, CRISP-DM and SEMMA),” International Journal of Innovation and Scientific Research, vol. 12, no. 1, pp. 217–222, November 2014.