- Open code for research purpose, you are free to use, change and distribute this package with the
README.mdinformation unchanged. - Point of Contact: A/Prof. Gang Li
Prepared by TULIP Lab, Australia
- 2020 maintainers: Chris Zhang
- 2019 maintainers: Xin Han
Adam: 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): 1822-1834CTR: 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 1106-1114DLM: 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 410-423GP-DLM: 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 2020RFM: 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