LEADER 00933nam0-2200337---450- 001 990009474860403321 005 20111107085802.0 010 $a978-88-348-1924-1 035 $a000947486 035 $aFED01000947486 035 $a(Aleph)000947486FED01 035 $a000947486 100 $a20111107d2011----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a--------001yy 200 1 $aIstituzioni di diritto privato$ga cura di Mario Bessone$fRosalba Alessi ... [et al.] 205 $a18. ed. 210 $aTorino$cGiappichelli$dc2011 215 $aXLVI, 1221 p.$d24 cm 610 0 $aDiritto privato 676 $a346$v14 rid.$zita 702 1$aAlessi,$bRosalba 702 1$aBessone,$bMario 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009474860403321 952 $aGRDDPR39A$b20127$fDECBC 959 $aDECBC 996 $aIstituzioni di diritto privato$965131 997 $aUNINA LEADER 03821nam 22007695 450 001 996641270303316 005 20250626164430.0 010 $a9783031789809 010 $a3031789806 024 7 $a10.1007/978-3-031-78980-9 035 $a(CKB)37391166900041 035 $a(MiAaPQ)EBC31892456 035 $a(Au-PeEL)EBL31892456 035 $a(DE-He213)978-3-031-78980-9 035 $a(OCoLC)1496393760 035 $a(EXLCZ)9937391166900041 100 $a20250127d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscovery Science $e27th International Conference, DS 2024, Pisa, Italy, October 14?16, 2024, Proceedings, Part II /$fedited by Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (686 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15244 311 08$a9783031789793 311 08$a3031789792 327 $aTree-Based Models and Causal Discovery -- Security and Anomaly Detection -- Computer Vision and Explainable AI -- Classification Models; SoBigData++: City for Citizens and Explainable AI -- SoBigData++: Societal Debates and Misinformation Analysis. 330 $aThe two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024. The 53 full papers presented in the proceedings were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows: Part I: LLM, Text Analytics, and Ethical Aspects of AI; Natural Language Processing, Sequential Data and Science Discovery; Data-Driven Science Discovery Methodologies; Graph Neural Network, Graph Theory, Unsupervised Learning and Regression; Part II: Tree-Based Models and Causal Discovery; Security and Anomaly Detection; Computer Vision and Explainable AI; Classification Models; SoBigData++: City for Citizens and Explainable AI; SoBigData++: Societal Debates and Misinformation Analysis. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15244 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aData mining 606 $aSocial sciences$xData processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aData Mining and Knowledge Discovery 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aData mining. 615 0$aSocial sciences$xData processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3 700 $aPedreschi$b Dino$01783560 701 $aMonreale$b Anna$01383238 701 $aGuidotti$b Riccardo$01783561 701 $aPellungrini$b Roberto$01783562 701 $aNaretto$b Francesca$01783563 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996641270303316 996 $aDiscovery Science$94311422 997 $aUNISA