Spatiotemporal Co-occurrence Pattern (STCOP) Mining-Reference-Cited by-同舟云学术

Spatiotemporal Co-occurrence Pattern (STCOP) Mining

Published:2018 Issue: Volume: Page:55-69
ISSN:2191-5768
Container-title:Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
language:
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Author:

Aydin Berkay,Angryk Rafal A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-99873-2_5

Reference14 articles.

1. Aydin, B., Akkineni, V., Angryk, R.: Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. In: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS ’15, pp. 80:1–80:4. ACM, New York, NY, USA (2015). https://doi.org/10.1145/2820783.2820871 . URL http://doi.acm.org/10.1145/2820783.2820871

2. Aydin, B., Akkineni, V., Angryk, R.A.: Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20(4), 801–828 (2016). https://doi.org/10.1007/s10707-016-0255-0 . URL http://dx.doi.org/10.1007/s10707-016-0255-0

3. Aydin, B., Angryk, R., Filali Boubrahimi, S., Hamdi, S.M.: Spatiotemporal Frequent Pattern Discovery from Solar Event Metadata. AGU Fall Meeting Abstracts SH34A-08 (2016)

4. Aydin, B., Angryk, R.A.: Spatiotemporal frequent pattern mining on solar data: Current algorithms and future directions. In: IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14–17, 2015, pp. 575–581 (2015). https://doi.org/10.1109/ICDMW.2015.10 . URL http://dx.doi.org/10.1109/ICDMW.2015.10

5. Aydin, B., Kempton, D., Akkineni, V., Angryk, R., Pillai, K.G.: Mining spatiotemporal co-occurrence patterns in solar datasets. Astronomy and Computing 13, 136–144 (2015). http://dx.doi.org/10.1016/j.ascom.2015.10.003

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