LEADER 02482nam  2200709z- 450 
001 9910637792303321
005 20221206
010   $a3-0365-5878-0
035   $a(CKB)5470000001631613
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94563
035   $a(oapen)doab94563
035   $a(EXLCZ)995470000001631613
100   $a20202212d2022      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aIntelligent Computing for Big Data
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 online resource (100 p.)
311 08$a3-0365-5877-2 
330   $aRecent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on 'Intelligent Computing for Big Data' highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text mining, autism diagnosis, behaviour recognition, and blockchain-based storage.
606   $aComputer science$2bicssc
606   $aInformation technology industries$2bicssc
610   $aartificial intelligence
610   $aautism spectrum disorder (ASD)
610   $abehavior recognition
610   $abig data
610   $abig text data
610   $abio-inspired algorithms
610   $abioinformatics
610   $ablockchain
610   $ablockchain technology
610   $aclassification
610   $aconvolution neural network
610   $adecentralized architecture
610   $adeep learning
610   $adocument classification
610   $adog detection
610   $afusion model
610   $aGrey Wolf Optimization (GWO)
610   $along-term care
610   $amachine learning
610   $amultimodal data
610   $an/a
610   $aolder people
610   $aproof-of-replication
610   $aproxy re-encryption
610   $aspatio-temporal document
610   $astorage
610   $aSupport Vector Machine (SVM)
615  7$aComputer science
615  7$aInformation technology industries
700   $aWang$b Wei$4edt$0780333
702   $aMan$b Ka Lok$4edt
702   $aWang$b Wei$4oth
702   $aMan$b Ka Lok$4oth
906   $aBOOK
912   $a9910637792303321
996   $aIntelligent Computing for Big Data$93033270
997   $aUNINA