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Incremental Methods for Detecting Outliers from Multivariate Data Stream Conference paper
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2014, Innsbruck, Austria, February 17 – 19, 2014
Authors:  Simon Fong;  Zhicong Luo;  Bee Wah Yap;  Suash Deb
Favorite  |  View/Download:3/0  |  Submit date:2019/02/13
Data Stream Mining  Incremental Processing  Outlier Detection  
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets Conference paper
Lecture Notes in Electrical Engineering:Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013), Kuala Lumpur, Malaysia, Dec 16, 2013 - Dec 18, 2013
Authors:  Bee Wah Yap;  Khatijahhusna Abd Rani;  Hezlin Aryani Abd Rahman;  Simon Fong;  Zuraida Khairudin;  Nik Nik Abdullah
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Bagging  Boosting  Imbalanced Data  Oversampling  Undersampling  
Incremental Learning Algorithms for Fast Classification in Data Stream Conference paper
Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013, New Delhi, India, 24-26 Aug. 2013
Authors:  Simon Fong;  Zhicong Luo;  Bee Wah Yap
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Classification  Data Mining  Incremental Learning  Lightweight Processing  Oulier Dectction  
Predicting car purchase intent using data mining approach Conference paper
Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Shanghai, China, 26-28 July 2011
Authors:  Yap Bee Wah;  Nor Huwaina Ismail;  Simon Fong
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Classification  Data Mining  Decision Tree  Logistic Regression  Predictive Modeling