LEADER 07226nam 2202089z- 450 001 9910743276603321 005 20230911 035 $a(CKB)5690000000228542 035 $a(oapen)doab113922 035 $a(EXLCZ)995690000000228542 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced Machine Learning Applications in Big Data Analytics 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (654 p.) 311 08$a3-0365-8487-0 330 $aWith the development of computer technology and communication technology, various industries have collected a large amount of data in different forms, so-called big data. How to obtain valuable knowledge from these data is a very challenging task. Machine learning is such a direct and effective method for big data analytics. In recent years, a variety of advanced machine learning technologies have emerged, and they continue to play important roles in the era of big data. Considering advanced machine learning and big data together, we have selected a series of relevant works in this Special Issue to showcase the latest research advancements in this field. Specifically, a total of thirty-three articles are included in this Special Issue, which can be roughly categorized into six groups: time series analysis, evolutionary computation, pattern recognition, computer vision, image encryption, and others. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $a1D quadratic chaotic system 610 $aadaptive learning 610 $aadversarial attacks 610 $aARMA 610 $aattentional mechanisms 610 $aBaaS system 610 $abagging model 610 $abehavior detection 610 $ablockchain consensus algorithm 610 $aborder patrol 610 $aBP 610 $abutterfly optimization algorithm 610 $acapacitated vehicle routing planning 610 $aCBAM 610 $aCBCFI 610 $aclassification algorithms 610 $acloud 610 $aclustering algorithms 610 $aCNN 610 $acolor image 610 $acombined prediction model 610 $acommunity clustering 610 $acomplementary ensemble empirical mode decomposition (CEEMD) 610 $acomposite multi-scale dispersion entropy 610 $acomputer vision 610 $aconcept drift 610 $aconfidentiality management 610 $aconvolutional neural networks 610 $acoupled map lattice 610 $aCOVID-19 610 $acrisscross search 610 $adata stream mining 610 $adeep belief network 610 $adeep feature 610 $adeep learning 610 $adesign science research 610 $adifferential evolution 610 $adigital archives 610 $adisease classification 610 $aDNA coding 610 $aDNA computing 610 $aDNA sequences design 610 $adocument classification 610 $adual-update strategy 610 $aELM 610 $aembedding propagation 610 $aemotion-cause pair extraction 610 $aenergy storage 610 $aerror coefficient 610 $aevent extraction 610 $aevent trigger words 610 $aevent type 610 $aextreme learning machine 610 $afault diagnosis 610 $afeature selection 610 $afinancial time series forecasting 610 $aflight safety 610 $aforecasting 610 $aforex 610 $aGA 610 $agenerative adversarial network 610 $aglobal optimization 610 $aGM 610 $agraph attention network 610 $agraph convolutional network 610 $agraph neural network 610 $agravity search 610 $ahash function 610 $ahealth 610 $aHemerocallis citrina Baroni 610 $aheterogeneous graph 610 $ahierarchical clustering 610 $ahierarchical model 610 $ahigh-plateau flight 610 $ahybrid model 610 $ahyperspectral image classification 610 $aimage classification 610 $aimage encryption 610 $aimproved matrix particle swarm optimization algorithm (IMPSO) 610 $aincremental learning 610 $ainformation system 610 $ainformation systems 610 $ainfrared 610 $aJaccard distance 610 $aKNN 610 $aleast squares method 610 $alightweight neural networks 610 $along short-term memory network 610 $amachine learning 610 $amaturity detection 610 $amean absolute error 610 $amean-semivariance model 610 $amembership grade 610 $ameta-heuristic 610 $amodel predictive control 610 $amulti-behavior recommendation 610 $amulti-strategy 610 $aMultiRocket 610 $an/a 610 $aneural architecture search 610 $aneural networks 610 $aNLP 610 $aobject detection 610 $aonline learning 610 $aopposition-based learning 610 $aoutput optimization 610 $aoverseas Chinese associations 610 $aparticle swarm optimization 610 $apeak shaving and frequency regulation 610 $aperformance analysis 610 $apilot abnormal behavior 610 $apixel level 610 $apolymorphic mapping 610 $aportfolio optimization 610 $aprincipal component analysis 610 $aPROPHET 610 $aPSO 610 $aquantum dynamics 610 $aquick access recorder 610 $arandom replacement 610 $aridge regression 610 $asaving mileage 610 $asequential recommendation 610 $aservice level agreement 610 $ashort-term traffic-flow forecasting 610 $asignal-to-noise ratio distance 610 $asliding window 610 $aspatial-temporal systems 610 $asplicing model 610 $astacking model 610 $astock announcement news 610 $astock return 610 $asupport vector machine 610 $asupport vector machine swarm intelligence 610 $asupport vector machines 610 $aswarm intelligence 610 $atalent stability prediction 610 $atarget detection 610 $atime series 610 $atime series classification 610 $atomato leaf 610 $atraffic flow forecasting 610 $atransaction priority 610 $avariational mode decomposition 610 $awarning system 610 $awhale optimization algorithm 610 $aYOLOv4 algorithm 610 $aYOLOv5 algorithm 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743276603321 996 $aAdvanced Machine Learning Applications in Big Data Analytics$93560562 997 $aUNINA