E-BUSINESS TECHNOLOGY INSTITUTE



Researcher : Huang JZ

Project Title:Intelligent e-learning technology
Investigator(s):Huang JZ, Fok WWT
Department:E-Business Technology Institute
Source(s) of Funding:Seed Funding Programme for Applied Research
Start Date:12/2002
Abstract:
To enhance the current IDEAL 3.0 Na[iuml]ve Bayes classification engine with incremental learning function to make it adaptive to the changing environment; to implement an unsupervised text classification based on the new clustering algorithm, Variable Weighting [kappa]-prototypes algorithm recently developed by ETI and Math department of HKU (pending for patent application); to develop an ITF proposal in the area of e-learning and knowledge management.


List of Research Outputs



-- End of Listing --