Osama Alhawsawi, Mayad Al-Saidi, Michael Phi, Tamer N. Jarada, Mohammad Khabbaz, Negar Koochakzadeh, Keivan Kianmehr, Reda Alhajj, Jon G. Rokne. From Fuzzy Association Rule Mining to Effective Classification Framework. In Hujun Yin, Wenjia Wang, Victor J. Rayward-Smith, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Volume 6936 of Lecture Notes in Computer Science, pages 413-420, Springer, 2011. [doi]
@inproceedings{AlhawsawiAPJKKKAR11,
title = {From Fuzzy Association Rule Mining to Effective Classification Framework},
author = {Osama Alhawsawi and Mayad Al-Saidi and Michael Phi and Tamer N. Jarada and Mohammad Khabbaz and Negar Koochakzadeh and Keivan Kianmehr and Reda Alhajj and Jon G. Rokne},
year = {2011},
doi = {10.1007/978-3-642-23878-9_49},
url = {http://dx.doi.org/10.1007/978-3-642-23878-9_49},
tags = {rule-based, classification, rules},
researchr = {https://researchr.org/publication/AlhawsawiAPJKKKAR11},
cites = {0},
citedby = {0},
pages = {413-420},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings},
editor = {Hujun Yin and Wenjia Wang and Victor J. Rayward-Smith},
volume = {6936},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-23877-2},
}