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You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.

, , , , , , и . CIKM, стр. 2885-2892. ACM, (2020)

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Yi Wang

Zhiwei Yi

Yi Yang

Yi Ni

Weiyong Yi

 

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A Gaussian Bayesian model to identify spatio-temporal causalities for air pollution based on urban big data., , , и . INFOCOM Workshops, стр. 3-8. IEEE, (2016)不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems)., , , и . 计算机科学, 42 (5): 24-27 (2015)You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users., , , , , , и . CIKM, стр. 2885-2892. ACM, (2020)Forecasting Fine-Grained Air Quality Based on Big Data., , , , , , и . KDD, стр. 2267-2276. ACM, (2015)C$^2$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection., , , , , , и . CoRR, (2022)Deep Distributed Fusion Network for Air Quality Prediction., , , , и . KDD, стр. 965-973. ACM, (2018)Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks., , , , , и . CoRR, (2017)GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction., , , , и . IJCAI, стр. 3428-3434. ijcai.org, (2018)ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data., , , и . IJCAI, стр. 2704-2710. IJCAI/AAAI Press, (2016)CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach., , , , , и . CIKM, стр. 2665-2671. ACM, (2019)