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Linked data, data mining and external open data for better prediction of at-risk students

Author:
Sarker, Farhana
,
Tiropanis, Thanassis
,
Davis, Hugh C
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ISGT-Asia.2014.6873894
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1074416
Keyword(s): distributed power generation,n evolutionary computation,n learning (artificial intelligence),n multi-agent systems,n artificially intelligent learning algorithm,n decision making modules,n distributed energy systems,n distributed generators,n evolutionary computation,n multiagent systems,n online reinforcement learning,n Asia,n Generators,n Heuristic algorithms,n Learning (artificial intelligence),n Multi-agent systems,n Neurons,n Wind turbines
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    Linked data, data mining and external open data for better prediction of at-risk students

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contributor authorSarker, Farhana
contributor authorTiropanis, Thanassis
contributor authorDavis, Hugh C
date accessioned2020-03-12T22:11:17Z
date available2020-03-12T22:11:17Z
date issued2014
identifier other6996973.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1074416
formatgeneral
languageEnglish
publisherIEEE
titleLinked data, data mining and external open data for better prediction of at-risk students
typeConference Paper
contenttypeMetadata Only
identifier padid8210552
subject keywordsdistributed power generation
subject keywordsn evolutionary computation
subject keywordsn learning (artificial intelligence)
subject keywordsn multi-agent systems
subject keywordsn artificially intelligent learning algorithm
subject keywordsn decision making modules
subject keywordsn distributed energy systems
subject keywordsn distributed generators
subject keywordsn evolutionary computation
subject keywordsn multiagent systems
subject keywordsn online reinforcement learning
subject keywordsn Asia
subject keywordsn Generators
subject keywordsn Heuristic algorithms
subject keywordsn Learning (artificial intelligence)
subject keywordsn Multi-agent systems
subject keywordsn Neurons
subject keywordsn Wind turbines
identifier doi10.1109/ISGT-Asia.2014.6873894
journal titleontrol, Decision and Information Technologies (CoDIT), 2014 International Conference on
filesize811077
citations0
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