Adaptive-maximum imputation for neighborhood-based collaborative filtering, proposed in Lazy Collaborative Filtering for Datasets with Missing Values, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2013, 43(6): 1822-1834.
Contrast Targeted Positive and Negative Association Rule Mining (CTR) algorithm, proposed in Identifying Changes And Trends In Hong Kong Outbound Tourism, Tourism Management, 2011, Vol 32(5), Pages 1106-1114.
A Deep Learning Package for Tourism Demand Forecasting, proposed in Tourism Demand Forecasting: A Deep Learning Approach, Annals of Tourism Research, Vol 75, March 2019, Page 410-423.
A Deep Learning Package for Group Pooling Tourism Demand Forecasting, proposed in Group Pooling For Deep Tourism Demand Forecasting. Annals of Tourism Research, Vol 82, May 2020.
Univariate Time Series Predictivity, proposed in Predictivity of tourism demand data. Annals of Tourism Research, May 2021.
Tools for handling fuzzy measures, calculating Shapley value and Interaction index, Choquet Integrals, as well as fitting fuzzy measures to empirical data, as introduced in A Choquet Integral Toolbox and Its Application in Customer Preference Analysis. Data Mining Application with R, Elsevier, 2013.
A Deep Learning Package for STL Decomposition Tourism Demand Forecasting, proposed in Tourism Demand Forecasting: A Decomposed Deep Learning Approach. Journal of Travel Research, 2020.
IK-AHC is a novel hierarchical clustering algorithm. It uses a data-dependent kernel called Isolation Kernel to measure the the similarity between clusters.
GANBLR is a novel tabular data generation algorithm. It uses the higher order discriminative Bayesian Network and also the neural network to generate the synthetic tabular data.