LEADER 02188oam 2200529 450 001 9910484142803321 005 20210416011025.0 010 $a981-15-7106-6 024 7 $a10.1007/978-981-15-7106-0 035 $a(CKB)4100000011515580 035 $a(MiAaPQ)EBC6381372 035 $a(DE-He213)978-981-15-7106-0 035 $a(PPN)258063327 035 $a(EXLCZ)994100000011515580 100 $a20210416d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning for predictive analysis $eproceedings of ICTIS 2020 /$fedited by Amit Joshi, Mahdi Khosravy, Neeraj Gupta 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XXIX, 627 p. 305 illus., 188 illus. in color.) 225 1 $aLecture Notes in Networks and Systems,$x2367-3370 ;$v141 300 $aIncludes index. 311 $a981-15-7105-8 330 $aThis book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems. . 410 0$aLecture Notes in Networks and Systems,$x2367-3370 ;$v141 606 $aMachine learning 606 $aBig data 606 $aComputational intelligence 615 0$aMachine learning. 615 0$aBig data. 615 0$aComputational intelligence. 676 $a006.3 702 $aKhosravy$b Mahdi 702 $aGupta$b Neeraj 702 $aJoshi$b Amit 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910484142803321 996 $aMachine learning for predictive analysis$92850797 997 $aUNINA