Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting

Spatial event forecasting from social media is potentially extremely useful but suffers from critical challenges, such as the dynamic patterns of features (keywords) and geographic heterogeneity (e.g., spatial correlations, imbalanced samples, and different populations in different locations). Most...

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Veröffentlicht in:IEEE transactions on knowledge and data engineering 2017-05, Vol.29 (5), p.1059-1072
Hauptverfasser: Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Ramakrishnan, Naren
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Sprache:eng
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