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Abdulla Aburomman
Universiti Kebangsaan Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Review of IDS Develepment Methods in Machine Learning Abdulla Aburomman; Mamun Bin Ibne Reaz
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (104.397 KB) | DOI: 10.11591/ijece.v6i5.pp2432-2436

Abstract

Due to the rapid advancement of knowledge and technologies, the problem of decision making is getting more sophisticated to address, therefore the inventing of new methods to solve it is very important. One of the promising directions in machine learning and data mining is classifier combination. The popularity of this approach is confirmed by the still growing number of publications. This review paper focuses mainly on classifier combination known also as combined classifier, multiple classifier systems, or classifier ensemble. Eventually, recommendations and suggestions have also included.
Co-Authors Mamun Bin Ibne Reaz