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Outlier Detection for Business Intelligence using Data Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 2 |
| Year of Publication: 2014 |
| Authors: Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel |
10.5120/18493-9555
|
Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel . Outlier Detection for Business Intelligence using Data Mining Techniques. International Journal of Computer Applications. 106, 2 ( November 2014), 28-31. DOI=10.5120/18493-9555
Abstract
In this paper we have made a review of various outlier detection techniques from data mining perspective. Existing studies in data mining focus generally on finding patterns from large datasets and using it for organizational decision making. However, finding exceptions and outliers did not receive much attention in the data mining field as other topics received. Finally, this paper concludes some advances in outlier detection recently.
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