SLIM: Scalable Linkage of Mobility Data
Author:
Affiliation:
1. Amazon Web Services, Cambridge, United Kingdom
2. University of Warwick, Warwick, United Kingdom
3. Bilkent University, Ankara, Turkey
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3318464.3389761
Reference49 articles.
1. Spatio-Temporal Data Mining: A Survey of Problems and Methods. In ACM;Atluri Gowtham;Comp. Surv. Association for Computing Machinery, New York, NY, USA,2018
2. Spatio-Temporal Linkage over Location-Enhanced Services
3. Automatic user identification method across heterogeneous mobility data sources
4. Re-identification of anonymized CDR datasets using social network data
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1. A Trajectory-Based User Movement Pattern Similarity Measure for User Identification;IEEE Transactions on Network Science and Engineering;2023-11
2. Spatial-Temporal Similarity for Trajectories with Location Noise and Sporadic Sampling;2021 IEEE 37th International Conference on Data Engineering (ICDE);2021-04
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