Publisher
Springer International Publishing
Reference21 articles.
1. Gao, Q., Zhang, F.-L., Wang, R., Zhou, F.: Trajetory big data: a review of key technologies in data processing. J. Softw. 28(04), 959–992 (2017)
2. Alvares, L.O., Bogorny, V., Kuijpers, B., et al.: A model for enriching trajectories with semantic geographical information. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, p. 22. ACM (2007)
3. Zuo, K., Tao, J., Zeng, H., et al.: Algorithm for trajectory movement pattern mining based on semantic space anonymity. Netinfo Secur. 18(8), 34–42 (2018)
4. Giannotti, F., Nanni, M., Pinelli, F., et al.: Trajectory pattern mining. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 330–339. ACM (2007)
5. Luo, W., Tan, H., Chen, L., et al.: Finding time period-based most frequent path in big trajectory data. In: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp. 713–724. ACM (2013)
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-level Frequent Pattern Mining on Pipeline Incident Data;Lecture Notes on Data Engineering and Communications Technologies;2024
2. Anomaly Detection with Generalized Isolation Forest;Lecture Notes on Data Engineering and Communications Technologies;2024
3. Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11
4. Mining for Fake News;Advanced Information Networking and Applications;2022
5. Sports Data Management, Mining, and Visualization;Advanced Information Networking and Applications;2022