Towards online anti-opinion spam: Spotting fake reviews from the review sequence
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: 2014شناسه الکترونیک: 10.1109/ICNC.2014.6975907
کلیدواژه(گان): convergence,hydroelectric power stations,particle swarm optimisation,reservoirs,search problems,MGPSO,MGPSO algorithm,convergence,global optima,gradient search strategy,hydropower station reservoir,local optima,local optimal solution,multiple groups-of-gradient particle swarm optimization algorithm,optimal reservoir operation,random strategy update,search ability improvement,search accuracy improvement,strategy grouping,Accuracy,Convergence,Hydroelectric power generation,Op
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Towards online anti-opinion spam: Spotting fake reviews from the review sequence
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contributor author | Yuming Lin | |
contributor author | Tao Zhu | |
contributor author | Hao Wu | |
contributor author | Jingwei Zhang | |
contributor author | Xiaoling Wang | |
contributor author | Aoying Zhou | |
date accessioned | 2020-03-12T21:02:09Z | |
date available | 2020-03-12T21:02:09Z | |
date issued | 2014 | |
identifier other | 6921594.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1034695 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Towards online anti-opinion spam: Spotting fake reviews from the review sequence | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8160635 | |
subject keywords | convergence | |
subject keywords | hydroelectric power stations | |
subject keywords | particle swarm optimisation | |
subject keywords | reservoirs | |
subject keywords | search problems | |
subject keywords | MGPSO | |
subject keywords | MGPSO algorithm | |
subject keywords | convergence | |
subject keywords | global optima | |
subject keywords | gradient search strategy | |
subject keywords | hydropower station reservoir | |
subject keywords | local optima | |
subject keywords | local optimal solution | |
subject keywords | multiple groups-of-gradient particle swarm optimization algorithm | |
subject keywords | optimal reservoir operation | |
subject keywords | random strategy update | |
subject keywords | search ability improvement | |
subject keywords | search accuracy improvement | |
subject keywords | strategy grouping | |
subject keywords | Accuracy | |
subject keywords | Convergence | |
subject keywords | Hydroelectric power generation | |
subject keywords | Op | |
identifier doi | 10.1109/ICNC.2014.6975907 | |
journal title | dvances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on | |
filesize | 450066 | |
citations | 0 |