Methodologies of Mining Anomaly Patterns from Spatio-temporal Data

doi:10.11947/j.AGCS.2016.20160360

Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (11): 1386-1386.doi: 10.11947/j.AGCS.2016.20160360

Methodologies of Mining Anomaly Patterns from Spatio-temporal Data

SHI Yan^1,2,3

1. State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China;
2. Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China;
3. Department of Geo-informatics, Central South University, Changsha 410083, China

Received:2016-07-15 Online:2016-11-20 Published:2016-12-03

Abstract

CLC Number:

P208

SHI Yan. Methodologies of Mining Anomaly Patterns from Spatio-temporal Data[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(11): 1386-1386.

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Methodologies of Mining Anomaly Patterns from Spatio-temporal Data

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