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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
473Recommending Environmental Big Data
extracted features attributes, and scientic meaningfulness, to form several variable
subgroups, that is, SILO rainfall (mm/day), SILO rainfall rate (mm/hr.), AWAP rainfall
(mm/day), CosmOz rainfall (mm/day), MODIS post real-time TRMM Multi-Satellite
Precipitation Analysis (TMPA) product (mm/day). Combination of this kind formed
a pool of similar variables, which should be able to cross-validated or complemented
each other in case of missing values from a particular time series within that pool.
The complementary method identied the missing value segments of a time series
and replaced those segments with an average segment based on available other time
series in the same pool. This was done to model missing ...
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Publisher Resources

ISBN: 9781466581500