ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data
Xiuwen Yi,Yu Zheng,Junbo Zhang,Tianrui Li
2016 · DBLP: conf/ijcai/YiZZL16
International Joint Conference on Artificial Intelligence · 196 Citations
TLDR
A spatio-temporal multi-view-based learning (ST-MVL) method to collectively fill missing readings in a collection of geosensory time series data, considering the temporal correlation between readings at different timestamps in the same series and the spatial correlation between different time series.