[kaggle]DC比賽程序3-參考資料

本次比賽可借鑒的比賽有：

1. NYC taxi：因為資料開源 NYC Open Data ，是以網上有大量的研究。
2. ECML/PKDD 15: Taxi Trajectory Prediction KDD支援的在kaggle社群的比賽。 381 teams 冠軍采訪 https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i
3. ECML/PKDD 15: Taxi Trip Time Prediction (II) 345 teams https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii 以上具體的可以檢視參賽隊伍在github上公開的代碼或者文檔進行學習
4. 微軟研究院 xing xie 、 yu zheng

   的關于Taxi Trajectories諸多論文

   或者專著

   Computing with Spatial Trajectories