https://www.coursera.org/learn/data-patterns/lecture/TdyWO/6-5-mining-periodic-movement-patterns
Recommended Readings
F. Giannotti, M. Nanni, F. Pinelli, D. Pedreschi: Trajectory Pattern Mining. KDD’07
Y. Huang, S. Shekhar, H. Xiong: Discovering colocation patterns from spatial data sets: A general
approach. IEEE Trans. on Knowledge & Data Eng., 16(12), 2004
Y. Huang, J. Pei, H. Xiong: Mining Co-Location Patterns with Rare Events from Spatial Data Sets.
GeoInformatica 10(3): 239-260, 2006
K. Koperski, J. Han: Discovery of Spatial Association Rules in Geographic Information
Databases. SSD’95
J.-G. Lee, J. Han, and K.-Y. Whang: Trajectory Clustering: A Partition-and-Group Framework,
SIGMOD'07
Z. Li, B. Ding, J. Han, R. Kays: Swarm: Mining Relaxed Temporal Moving Object Clusters. VLDB’10
Z. Li, B. Ding, J. Han, R. Kays, P. Nye: Mining Periodic Behaviors for Moving Objects. KDD’10
Z. Li, J. Wang and J. Han, ePeriodicity: Mining Event Periodicity from Incomplete Observations.
IEEE TKDE, 27(5): 1219-1232, 2015
C. Zhang, J. Han, L. Shou, J. Lu, and T. La Porta: Splitter: Mining Fine Grained Sequential Patterns
in Semantic Trajectories. VLDB'14
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