CFAR++: Enhancing Rule Based Classifier

Author:

Kabir Md Rayhan1ORCID,Jaura Seeratpal1ORCID,Zaiane Osmar R.2ORCID

Affiliation:

1. University of Alberta, Edmonton, Alberta, Canada

2. Alberta Machine Intelligence Institute, University of Alberta, Edmonton, Alberta, Canada

Publisher

ACM

Reference30 articles.

1. Kotsiantis S.B. Zaharakis I. Pintelas P. et al.: Supervised machine learning: A review of classification techniques. Emerging artificial intelligence applications in computer engineering 160(1) 3--24 (2007)

2. Lei, D., Chen, X., Zhao, J.: Opening the black box of deep learning. arXiv preprint arXiv:1805.08355 (2018)

3. Zaiane, O., Antonie, M-L., Coman, A.: Mammography Classification by an Association Rule-Based Classifier, Third Intl. ACM SIGKDD Workshop on Multimedia Data Mining, pp. 62--69, Edmonton, Canada, (2002).

4. Solanki, S.K., Patel, J.T.: A survey on association rule mining. In: 2015 Fifth International Conference on Advanced Computing Communication Technologies, pp. 212--216 (2015).

5. Soni, S., Vyas, O.: Using associative classifiers for predictive analysis in health care data mining. International Journal of Computer Applications 4(5), 33--37 (2010)

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