oHIML package Version 1.0 (June, 2021) (Matlab code)

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Copyright (c) 2021 Liang Zhao
Emory University
liang.zhao@emory.edu

Please cite the following papers in any work that uses this material:

Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Fanny Ye, Chang-tien Lu, and Naren Ramakrishnan. Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear.
 
Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. ?Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting.? in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016) San Francisco, California, pp. 2085-2094, Aug 2016.

Together with this Readme.txt are the codes and data.

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ENVIRONMENT: 
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Matlab 2015-2021 (previous version may also work)


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INSTALLATION: 
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Before running the codes, please first install and add-path the toolbox UNLocBox here: https://lts2.epfl.ch/unlocbox/.


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EXAMPLE RUN:
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To run the code, run the following command lines:
>> example_run


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DATA FORMAT: 
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Please refer to the comments in file 'example_run.m' for the format of the data in published_data.mat



If any problem, please contact Liang Zhao via liang.zhao@emory.edu.