• A Hybrid Genetic Algorithm Approach to Multi-objective ERP Training Scheduling Problems 

  Ching-Long, Su; Wu-Chen, Su (Proceedings of the 13th Asia Pacific Management Conference, 2007)

  It mainly addresses a hybrid multiobjective training scheduling genetic algorithm in this research. We can get the schedule that almost matches the real decisive results to help enterprises proceed with training scheduling ...
• “How do you know that I don't understand?" A look at the future of intelligent tutoring systems 

  Sarrafzadeh, Hossein (Computers in Human Behavior, 2007)

  Many software systems would significantly improve performance if they could adapt to the emotional state of the user, for example if Intelligent Tutoring Systems (ITSs), ATM’s, ticketing machines could recognise when users ...
• Determining the accuracy of budgets : a machine learning application for budget change pattern recognition 

  Yip, Kai Leung (Master of Computing, 2012)

  With the aid of open-sourced database and software libraries, we developed a data mining software prototype for SME business intelligent budgeting planning. The experiment demonstrates the existence of the change pattern ...
• Dynamic class imbalance learning for incremental LPSVM 

  Zhu, Lei (Master of Computing, 2012)

  Abstract Linear Proximal Support Vector Machines (LPSVM), like decision trees, classic SVM, etc. are originally not equipped to handle drifting data streams that exhibit high and varying degrees of class imbalance. For ...
• Virtualization and information security: A virtualized DMZ design consideration using VMware ESXi 4.1 

  Singh, Shiv Raj (Master of Computing, 2012)

  Virtualization is one of the most widely used technologies in modern day information technology datacentres. Companies like VMware, Citrix, Microsoft and Red Hat have invested a lot of money and expertise into making ...

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