Name
Abstract | ||
|---|---|---|
We present a novel visual analysis method to systematically discover data quality problems in raw taxi GPS data. It combines semi-supervised active learning and interactive visual exploration. It helps analysts interactively discover unknown data quality problems, and automatically extract known problems. We report analysis results on Beijing taxi GPS data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/VAST.2015.7347689 | 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | DocType | Citations |
H.5.2 [Information Interfaces and Presentation]: User Interfaces-Graphical user interfaces (GUI) | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuchao Wang | 1 | 361 | 13.82 |
| Xiaoru Yuan | 2 | 1157 | 70.28 |
| Tangzhi Ye | 3 | 56 | 3.32 |
| Youfeng Hao | 4 | 0 | 0.68 |
| Siming Chen | 5 | 125 | 14.34 |
| Jie Liangk | 6 | 0 | 0.34 |
| Qiusheng Li | 7 | 0 | 0.34 |
| Haiyang Wang | 8 | 0 | 0.34 |
| Yadong Wu | 9 | 43 | 8.05 |