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Chapter and Conference Paper
Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
Brain network modelling has been shown effective to study the brain connectivity in Alzheimer’s disease (AD). Although the topological features of AD affected brain networks have been widely investigated, com...
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Chapter and Conference Paper
A Segmented Artificial Bee Colony Algorithm Based on Synchronous Learning Factors
In this paper, we propose a segmented ABC algorithm based on synchronous learning factors (SABC). For the problem of inferior local search ability and low convergence precision in the artificial bee colony (AB...
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Chapter and Conference Paper
Fuzzy Association Rule Mining with Type-2 Membership Functions
In this paper, a fuzzy association rule mining approach with type-2 membership functions is proposed for dealing with data uncertainty. It first transfers quantitative values in transactions into type-2 fuzzy ...
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Chapter and Conference Paper
Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism
In this paper, a two-stage multi-level genetic-fuzzy mining approach is proposed. In the first stage, the multi-level genetic-fuzzy mining (MLGFM) is utilized to derive membership functions of generalized item...
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Chapter and Conference Paper
Libraries in a Digital Frontier: Preserving Chinese Canadian Cultural Heritage
As a three-year community-based research project at the University of British Columbia, Chinese Canadian Stories: Uncommon Histories from a Common Past is government grant-funded project by the Community Historic...