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Adaptive multi-objective swarm crossover optimization for imbalanced data classification Conference paper
Jinyan Li, Simon Fong, Meng Yuan, Raymond K. Wong. Adaptive multi-objective swarm crossover optimization for imbalanced data classification[C], 2016, 374-390.
Authors:  Jinyan Li;  Simon Fong;  Meng Yuan;  Raymond K. Wong
Favorite | TC[Scopus]:5 | Submit date:2019/02/13
Class Rebalancing  Swarm Optimization  Classification  
Real-time stream mining electric power consumption data using hoeffding tree with shadow features Conference paper
Simon Fong, Meng Yuen, Raymond K. Wong, Wei Song, Kyungeun Cho. Real-time stream mining electric power consumption data using hoeffding tree with shadow features[C], 2016, 775-786.
Authors:  Simon Fong;  Meng Yuen;  Raymond K. Wong;  Wei Song;  Kyungeun Cho
Favorite | TC[Scopus]:0 | Submit date:2019/02/13
Electric Power Consumption Prediction  Data Stream Mining  Shadow Features  
Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions Conference paper
Shirley W.I. Siu, Thomas K.F. Wong, Simon Fong. Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions[C]:Springer, Berlin, Heidelberg, 2013, 336-347.
Authors:  Shirley W.I. Siu;  Thomas K.F. Wong;  Simon Fong
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Scoring Function  Protein-ligand Binding Affinity  Geometrical Features  Machine Learning  Structure-based Drug Design  
Hiding sensitive XML association rules via bayesian network Conference paper
Khalid Iqbal, Sohail Asghar, Simon Fong. Hiding sensitive XML association rules via bayesian network[C], 2011, 466-471.
Authors:  Khalid Iqbal;  Sohail Asghar;  Simon Fong
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Component  Formatting  Style  Styling  Insert (Key Words)  
A hierarchical cluster based preprocessing methodology for web usage mining Conference paper
Tasawar Hussain, Sohail Asghar, Simon Fong. A hierarchical cluster based preprocessing methodology for web usage mining[C], 2011, 472-477.
Authors:  Tasawar Hussain;  Sohail Asghar;  Simon Fong
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Web Usage Mining  Preprocessing  Particle Swarm  Hierarchical Clusters And Sessionization  
Hiding sensitive association rules using central tendency Conference paper
Muhammad Naeem, Sohail Asghar, Simon Fong. Hiding sensitive association rules using central tendency[C], 2011, 478-484.
Authors:  Muhammad Naeem;  Sohail Asghar;  Simon Fong
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Data Mining  Sensitive Association Rules  Privacy Preservation  Central Tendency  
A taxonomy-based classification model by using abstraction and aggregation Conference paper
Alice Tang, Simon Fong. A taxonomy-based classification model by using abstraction and aggregation[C], 2011, 448-454.
Authors:  Alice Tang;  Simon Fong
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Data Mining  Decision Tree  Feature Selection  Preprocessing  Attribute Value Taxonomies  Visual Mining  
An experimental comparison of decision trees in traditional data mining and data stream mining Conference paper
Yang Hang, Simon Fong. An experimental comparison of decision trees in traditional data mining and data stream mining[C], 2011, 442-447.
Authors:  Yang Hang;  Simon Fong
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Data Stream Mining  Java Simulator  Hoeffding Tree Algorithm  Decision Tree  Noise Data  
Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering Conference paper
Andy Ip, Simon Fong, Elaine Liu. Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering[C], 2011, 460-465.
Authors:  Andy Ip;  Simon Fong;  Elaine Liu
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Battery Electric Vehicles  City Planning  Clustering  
Multilevel classification scheme for AGV perception Conference paper
Muhammad Naeem, Sohail Asghar, Shahzad Rafiq Irfan, Simon Fong. Multilevel classification scheme for AGV perception[C], 2011, 485-489.
Authors:  Muhammad Naeem;  Sohail Asghar;  Shahzad Rafiq Irfan;  Simon Fong
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Autonomous Ground Vehicle  Classification