TULIP Lab Open Code

Open datasets for research purpose, you are free to use, change and distribute this package with the README.md information unchanged.
Point of Contact: A/Prof. Gang Li

Prepared by TULIP Lab, Australia

Content

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): 1822-1834)
CTR: 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)
DLM: 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)
RFM: 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)
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