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Towards online anti-opinion spam: Spotting fake reviews from the review sequence

contributor authorYuming Lin
contributor authorTao Zhu
contributor authorHao Wu
contributor authorJingwei Zhang
contributor authorXiaoling Wang
contributor authorAoying Zhou
date accessioned2020-03-12T21:02:09Z
date available2020-03-12T21:02:09Z
date issued2014
identifier other6921594.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1034695?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleTowards online anti-opinion spam: Spotting fake reviews from the review sequence
typeConference Paper
contenttypeMetadata Only
identifier padid8160635
subject keywordsconvergence
subject keywordshydroelectric power stations
subject keywordsparticle swarm optimisation
subject keywordsreservoirs
subject keywordssearch problems
subject keywordsMGPSO
subject keywordsMGPSO algorithm
subject keywordsconvergence
subject keywordsglobal optima
subject keywordsgradient search strategy
subject keywordshydropower station reservoir
subject keywordslocal optima
subject keywordslocal optimal solution
subject keywordsmultiple groups-of-gradient particle swarm optimization algorithm
subject keywordsoptimal reservoir operation
subject keywordsrandom strategy update
subject keywordssearch ability improvement
subject keywordssearch accuracy improvement
subject keywordsstrategy grouping
subject keywordsAccuracy
subject keywordsConvergence
subject keywordsHydroelectric power generation
subject keywordsOp
identifier doi10.1109/ICNC.2014.6975907
journal titledvances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
filesize450066
citations0


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