LEADER 01042cam0-2200349---450- 001 990005820980403321 005 20130325132556.0 010 $a3-484-10725-1 035 $a000582098 035 $aFED01000582098 035 $a(Aleph)000582098FED01 035 $a000582098 100 $a19990604d1996----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $a--------001yy 200 1 $aHistorismus und literarische Moderne$fMoritz Bassler, Christoph Brecht ... [et al.]$gmit einem Beitrag von Friedrich Dethlefs 210 $aTübingen$cNiemeyer$d1996 215 $aVII, 375 p.$d24 cm 610 0 $aLetteratura e storia 610 0 $aStoricismo in letteratura 676 $a809.933 58 702 1$aBassler,$bMoritz 702 1$aBrecht,$bChristoph 702 1$aDethlefs,$bFriedrich 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005820980403321 952 $a809.93358 BAS 1$bDip.f.m.8334$fFLFBC 959 $aFLFBC 996 $aHistorismus und literarische Moderne$9567580 997 $aUNINA LEADER 03446nam 22008175 450 001 9910728396003321 005 20251107160348.0 010 $a9783031333743 010 $a3031333748 024 7 $a10.1007/978-3-031-33374-3 035 $a(MiAaPQ)EBC30552985 035 $a(Au-PeEL)EBL30552985 035 $a(OCoLC)1380746677 035 $a(DE-He213)978-3-031-33374-3 035 $a(BIP)091205929 035 $a(PPN)270612343 035 $a(CKB)26784782100041 035 $a(EXLCZ)9926784782100041 100 $a20230526d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining $e27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25?28, 2023, Proceedings, Part I /$fedited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (563 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13935 311 08$aPrint version: Kashima, Hisashi Advances in Knowledge Discovery and Data Mining Cham : Springer,c2023 9783031333736 320 $aIncludes bibliographical references and index. 330 $aThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25?28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13935 606 $aArtificial intelligence 606 $aAlgorithms 606 $aEducation$xData processing 606 $aComputer science$xMathematics 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aMathematics of Computing 606 $aComputer Vision 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aEducation$xData processing. 615 0$aComputer science$xMathematics. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aMathematics of Computing. 615 24$aComputer Vision. 615 24$aComputer Engineering and Networks. 676 $a006.3 676 $a006.312 702 $aKashima$b Hisashi 702 $aIde$b Tsuyoshi 702 $aPeng$b Wen-Chih 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728396003321 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNINA