A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images-Reference-Cited by-同舟云学术

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A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images

Published:2015-06 Issue: Volume:38 Page:105-114
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Xue Cunjin,Song Wanjiao,Qin Lijuan,Dong Qing,Wen Xiaoyang

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference49 articles.

1. Fast algorithms for mining association rules;Agrawal,1994

2. Towards a framework for mining and analysing spatio-temporal datasets;Bertolotto;Int. J. Geog. Inf. Sci.,2007

3. A 2D–3D visualization support for human-centered rule mining;Blanchard;Comput. Graphics,2007

4. Sea surface temperature and sea surface height variability in the North Pacific Ocean from 1993 to 1999;Casey;J. Geophys. Res.,2002

5. Global oceanic precipitation derived from TOPEX and TMR: climatology and variability;Chen;J. Clim.,2003

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