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This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.
This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.
Web-Service for discrete dynamic systems' model description and simulation. Firstly, recursive procedures of stochastic optimization are added. The framework for open and closed loop model description and simulation.
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Provides fast lookup for a Subject Based messaging product using a trie. It allows for configurable wildcard characters to replace a single or multiple subject field(s) (A.B.*.D.>). Insertion in to the tree returns a unique handle for subsequent deletion
reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.
Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.