The H4M dataset contains data on real estate transactions, points of interest, traffic patterns and micro-blogging trends from Beijing, China. [Download]
Publications
House Price Prediction: A Multi-Source Data Fusion Perspective
Yaping Zhao, Jichang Zhao, Edmund Y. Lam
[Paper][Code]
@ARTICLE{zhao2024,
author={Zhao, Yaping and Zhao, Jichang and Lam, Edmund Y.},
journal={Big Data Mining and Analytics},
title={House Price Prediction: A Multi-Source Data Fusion Perspective},
year={2024},
keywords={price prediction;real estate;data mining;machine learning},
doi={10.26599/BDMA.2024.9020019}}
A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction
Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao
[Paper]
@INPROCEEDINGS{zhou2022traffic,
author={Zhou, Bodong and Liu, Jiahui and Cui, Songyi and Zhao, Yaping},
booktitle={IEEE International Conference on Data Science and Advanced Analytics (DSAA)},
title={Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping},
year={2022},
volume={},
number={},
pages={1-9},
doi={10.1109/DSAA54385.2022.10032443}
}
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing
Yaping Zhao,
Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Code][Download]
@inproceedings{zhao2022h4m,
title={{H4M}: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing},
author={Zhao, Yaping and Shi, Shuhui and Ravi, Ramgopal and Wang, Zhongrui and Lam, Edmund Y and Zhao, Jichang},
booktitle={IEEE International Conference on Data Science and Advanced Analytics},
year={2022},
organization={IEEE}
}
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao,
[Paper][Code]
@ARTICLE{zhou2024,
author={Zhou, Bodong and Liu, Jiahui and Cui, Songyi and Zhao, Yaping},
journal={Big Data Mining and Analytics},
title={A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction},
year={2024},
keywords={spatio-temporal;traffic prediction;multimodal fusion;learning representation},
doi={10.26599/BDMA.2024.9020020}}
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Yaping Zhao,
Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Code]
@inproceedings{zhao2022pate,
title={{PATE}: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction},
author={Zhao, Yaping and Ravi, Ramgopal and Shi, Shuhui and Wang, Zhongrui and Lam, Edmund Y and Zhao, Jichang},
booktitle={IEEE International Conference on Data Science and Advanced Analytics},
year={2022},
organization={IEEE}
}