LEADER 01493nam 2200421 450 001 996475772303316 005 20231110232806.0 010 $a3-031-05933-6 035 $a(MiAaPQ)EBC6983377 035 $a(Au-PeEL)EBL6983377 035 $a(CKB)22249684300041 035 $a(PPN)265864372 035 $a(EXLCZ)9922249684300041 100 $a20221201d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in knowledge discovery and data mining $e26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, proceedings : Part 1 /$fedited by Enhong Chen [and five others] 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (677 pages) 225 1 $aLecture Notes in Computer Science ;$vv.13280 311 08$aPrint version: Gama, Joćo Advances in Knowledge Discovery and Data Mining Cham : Springer International Publishing AG,c2022 9783031059322 320 $aIncludes bibliographical references and index. 410 0$aLecture Notes in Computer Science 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a006.3 702 $aChen$b Enhong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996475772303316 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNISA