Predict land covers with transition modeling and incremental learning

Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017

Volumn , Issue , 2017, Pages 171-179

  Jia, Xiaowei ^a   Khandelwal, Ankush ^a   Nayak, Guruprasad ^a   Gerber, James ^a   Carlson, Kimberly ^b   West, Paul ^a   Kumar, Vipin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF HAWAII   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FORECASTING;

INCREMENTAL LEARNING; LAND COVER APPLICATIONS; MACHINE LEARNING MODELS; MODEL PARAMETERS; PREDICTION PROCESS; SPATIO-TEMPORAL RELATIONSHIPS; TEMPORAL VARIATION; TRANSITION MODEL;

LEARNING SYSTEMS;

EID: 85027889007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611974973.20     Document Type: Conference Paper

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