LEADER 02708oam 2200517 450 001 9910743352903321 005 20230906111737.0 010 $a981-16-8929-6 010 $a981-16-8930-X 010 $a981-16-8930-X 035 $a(OCoLC)1396160510 035 $a(MiFhGG)GVRL572G 035 $a(EXLCZ)9921325599800041 100 $a20230828h20222022 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in machine learning for big data analysis /$fSatchidananda Dehuri, Yen-Wei Chen, editors 210 1$aSingapore :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (xix, 239 pages) $cillustrations (some color), charts 225 1 $aIntelligent Systems Reference Library ;$vv.218 311 08$aPrint version: Dehuri, Satchidananda Advances in Machine Learning for Big Data Analysis Singapore : Springer Singapore Pte. Limited,c2022 9789811689291 320 $aIncludes bibliographical references. 327 $a1. Multi-objective ant colony optimization : an updated review of approaches and applications -- 2. Cost-effective detection of cyber physical system attacks -- 3. A prognostic approach to crime analysis -- 4. A counter-based profiling scheme for improving locality through data and reducer placement -- 5. Hybridization of the higher order neural networks with the evolutionary optimization algorithms--an application to financial time series forecasting -- 6. Supply chain management (SCM) : employing various big data and metaheuristic strategies -- 7. Value of random vector functional link neural networks in software development effort estimation -- 8. Hybrid approach to prevent accidents at railway : an assimilation of big data, IoT and cloud -- 9. Hybrid decision tree for machine learning : a big data perspective. 330 $aThis book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. 410 0$aIntelligent systems reference library ;$vv. 218. 606 $aComputational intelligence 606 $aMachine learning 606 $aArtificial intelligence$xData processing 606 $aBig data 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aArtificial intelligence$xData processing. 615 0$aBig data. 676 $a780 702 $aDehuri$b Satchidananda 702 $aChen$b Yen-Wei 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910743352903321 996 $aAdvances in machine learning for big data analysis$93559287 997 $aUNINA