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Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals Conference paper
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING (PAKDD 2016), Auckland, New Zealand, April 19, 2016
Authors:  Xueyuan Gong;  Simon Fong;  Yain-Whar Si;  Robert P. Biuk-Aghai;  Raymond K. Wong;  Athanasios V. Vasilakos
Favorite  |  View/Download:8/0  |  Submit date:2019/02/13
Crossmatch  Ncm  Pattern Discovery  Time-series Streams  
NSPRING: Normalization-supported SPRING for Subsequence Matching on Time Series Streams Conference paper
2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 19–21 November, 2014
Authors:  Xueyuan Gong;  Yain-Whar Si;  Simon Fong;  Sabah Mohammed
Favorite  |  View/Download:6/0  |  Submit date:2019/02/13
Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis Conference paper
Advances in Intelligent Systems and Computing, Trivandrum, India, MAR 13-15, 2014
Authors:  Fong, Simon;  Deb, Suash;  Thampi, Sabu
Favorite  |  View/Download:6/0  |  Submit date:2018/11/06
A Scalable Data Stream Mining Methodology: Stream-Based Holistic Analytics and Reasoning in Parallel Conference paper
Proceedings - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014, New Delhi, India, 7-8 Dec. 2014
Authors:  Simon Fong;  Yan Zhuang;  Raymond Wong;  Sabah Mohammed
Favorite  |  View/Download:3/0  |  Submit date:2019/02/13
Cache-based Data Stream Classifier  Ccv Feature Selection  Data Stream Mining Methodology  Meta-heusristics  
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  
Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function Conference paper
Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013, Sydney, NSW, Australia, 3-5 Dec. 2013
Authors:  Hang Yang;  Simon Fong
Favorite  |  View/Download:3/0  |  Submit date:2019/02/13
Data Stream Mining  Decision Tree Classification  Hoeffding Tree  
Countering the Concept-drift Problem in Big Data Using iOVFDT Conference paper
Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013, Santa Clara, CA, USA, 27 June-2 July 2013
Authors:  Hang Yang;  Simon Fong
Favorite  |  View/Download:4/0  |  Submit date:2019/02/13
Classification  Concept Drift  Data Stream Mining  Incremental Decision Tree  
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  
Incrementally Optimized Decision Tree for Mining Imperfect Data Streams Conference paper
Communications in Computer and Information Science, Dubai, UAE, April 24-26, 2012
Authors:  Hang Yang;  Simon Fong
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Data Stream Mining  Decision Tree Classification  Incremental Optimization  Optimized Very Fast Decision Tree  
Multi-objective Optimization for Incremental Decision Tree Learning Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vienna, Austria, September 3-6, 2012
Authors:  Hang Yang;  Simon Fong;  Yain-Whar Si
Favorite  |  View/Download:4/0  |  Submit date:2019/02/13
Classification  Decision Tree  Incremental Optimization  Stream Mining