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Hidden features extraction using Independent Component Analysis for improved alert clustering

Feature extraction plays an important role in reducing the computational complexity and increasing the accuracy. Independent Component Analysis (ICA) is an effective feature extraction technique for disclosing hidden factors that underlying mixed samples of random variable measurements. The computat...

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Bibliographic Details
Main Authors:	Alhaj, T. A., Zainal, A., Siraj, M. M.
Format:	Conference or Workshop Item
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/59297/ http://dx.doi.org/10.1109/I4CT.2015.7219631
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