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Analytics-as-a-Service (AaaS) Tool for Unstructured Data Mining

contributor authorLomotey, R.K. , Deters, R.
date accessioned2020-03-12T23:39:25Z
date available2020-03-12T23:39:25Z
date issued2014
identifier other6903489.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1119561?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAnalytics-as-a-Service (AaaS) Tool for Unstructured Data Mining
typeConference Paper
contenttypeMetadata Only
identifier padid8289595
subject keywordsMonte Carlo methods
subject keywordssampling methods
subject keywordsstochastic processes
subject keywordsadaptive sampling rules
subject keywordsdeterministic recursion
subject keywordsfully sequential Monte Carlo sampling method
subject keywordsnoise-corrupted observations
subject keywordsstochastic recursions
subject keywordsstochastic simulation
subject keywordsunknown function
subject keywordsAdaptation models
subject keywordsAlgorithm design and analysis
subject keywordsApproximation methods
subject keywordsContext
subject keywordsContext modeling
subject keywordsRandom variables
identifier doi10.1109/WSC.2014.7020221
journal titleloud Engineering (IC2E), 2014 IEEE International Conference on
filesize312840
citations0


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