To analyze the high dimensional traffic data, Mahalanobis distance is applied to discover potential incidents according to the traffic pattern. Lifeline style detection and visualization is utilized to provide intuitive user interface. Methodology analysis and preliminary evaluation have been performed to validate the detec...
For example, there are three mainstream deep learning architectures which have attracted more researchers’ attention in spatial-temporal data mining, i.e., recurrent neural networks (RNNs) based models [13], [14], [15], convolutional neural networks (CNNs) based models [2], [4], [16],...
2024 KDD( ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 知识发现和数据挖掘会议)在2024年8月25日-29日在西班牙巴塞罗那举行。 本文总结了KDD2024有关时空数据(Spatial-temporal) 的相关论文,如有疏漏,欢迎大家补充。 时空数据Topic:时空(交通)预测,插补,气象预测,轨迹生成,预测,异常检测,信控优化...
Such data, conveying two viable distinct information, can ensue designing intelligent transportation. More specifically, users behavior in a public transport system, can be investigated, as one of the data mining and machine learning applications. The first component of the data, provides the spatial...
《Temporal, Spatial and Spatio-Temporal Data Mining》,作者:Temporal, Spatial and Spatio-Temporal Data Mining 著,出版社:湖南文艺出版社,ISBN:3540417737。
2. Dynamic Multi-Network Mining of Tensor Time Series 3. E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series 4. Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective 5. Breaking the Time-Frequency Granularity Discrepancy in Time-Serie...
Spatio-temporal Data MiningIJCSIThe booming industry of location-based services has accumulated a huge collection of users location trajectories and also brings us opportunities and challenges to automatically discover valuable knowledge from these trajectories. In this paper, we investigate the problem of...
作者:Xiaowei Mao (Beijing Jiaotong University; Cainiao Network), Haomin Wen (Beijing Jiaotong University; Cainiao Network), Hengrui Zhang (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining), Huaiyu Wan (Beijing Jiaotong University; Beijing Key Laboratory of Traffic...
In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 753–763 (2020). Yu, B., Yin, H. & Zhu, Z. Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting. arXiv preprint arXiv:1709.04875 (2017). Cao, D...
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep up