Showing results 1 to 2 of 2
| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing Proceeding/Conference:2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (13/10/2022-16/10/2022, Shenzhen, China) | 13-Oct-2022 | |||
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction Proceeding/Conference:2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (13/10/2022-16/10/2022, Shenzhen, China) | 13-Oct-2022 |