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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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Automatic Outlier Identification in Data Mining Using IQR in Real-Time Data

L.SUNITHA, DR M.BALRAJU, DR J.SASIKIRAN, E.VENKAT RAMANA Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Malla Reddy College of Engineering, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India

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Abstract: Some of the Real-Time databases containing exceptional values or extreme values called outliers. The separation of outliers is very much useful for improving the data quality and also removing which is not required and unrelated for knowledge discovery. The outlier will influence the results of data mining techniques like clustering, classification and association. Outlier Identification and removing is a part in the in preprocessing. In this paper we are using various measures central tendency methods like mean ,mode, median and Inter-Quartile – Range(IQR) on real time databases and the experimental results are generated by using Weka a data mining tool.
Key Terms: Outlier, Preprocessing, IQR

How to Cite:

[1] L.SUNITHA, DR M.BALRAJU, DR J.SASIKIRAN, E.VENKAT RAMANA Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Malla Reddy College of Engineering, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India, β€œAutomatic Outlier Identification in Data Mining Using IQR in Real-Time Data,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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