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Informing Climate Retrieval Development Using Data Mining or How to Help Scientist Draw Better LinesNo abstract available
Document ID
20150007217
Acquisition Source
Jet Propulsion Laboratory
Document Type
Presentation
External Source(s)
hdl:2014/44024
Authors
Mandrake, Lukas (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 4, 2015
Publication Date
April 4, 2013
Subject Category
Statistics And Probability
Earth Resources And Remote Sensing
Meteorology And Climatology
Meeting Information
Meeting: Chapman University Symposium on Big Data and Analytics: Symposium on the Interface of Computing Science and Statistics
Location: Orange, CA
Country: United States
Start Date: April 4, 2013
End Date: April 6, 2013
Sponsors: Chapman Univ.
Distribution Limits
Public
Copyright
Other
Keywords
machine learning
variance filtration
data mining
climate science interface
filtering

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