LEADER 02373oam 2200505 450 001 996418290103316 005 20210612155709.0 010 $a3-030-64580-0 024 7 $a10.1007/978-3-030-64580-9 035 $a(CKB)4100000011704548 035 $a(DE-He213)978-3-030-64580-9 035 $a(MiAaPQ)EBC6452038 035 $a(PPN)253252849 035 $a(EXLCZ)994100000011704548 100 $a20210612d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning, optimization, and data science $e4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, revised selected papers /$fEdited by Giuseppe Nicosia [and seven others] 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XXXVIII, 666 p. 211 illus., 179 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12566 300 $aIncludes index. 311 $a3-030-64579-7 330 $aThis two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12566 606 $aBig data$vCongresses 606 $aMathematical optimization$vCongresses 606 $aMachine learning$vCongresses 615 0$aBig data 615 0$aMathematical optimization 615 0$aMachine learning 676 $a006.31 702 $aNicosia$b Giuseppe 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418290103316 996 $aMachine learning, optimization, and data science$91949690 997 $aUNISA