01372cam2 22003491 450 SOBE0003829020131209122304.020131209d1976 |||||ita|0103 bafregrcFR<<11.1: Les >>lois (livres I-II)Platontexte etabli et traduit par Edouard Des Placesintroduction de Auguste Diès et Louis Gernet3. tirage revu et corrigeParisLes belles lettres1976CCXXI, 70 p. (1-70 doppie)20 cmCollection des Universités de FranceTesto originale a fronte001LAEC000189702001 *Collection des Universités de France001SOBE000342582001 Oeuvres complètes / Platon11.1De legibusSOBA000088321549952PlatoAF00011225070292329Des_Places, ÉdouardAF00018274070Gernet, LouisA600200039618070Diès, AugusteSOBA00007475070ITUNISOB20131209RICAUNISOBUNISOBFondo|Cosenza161144SOBE00038290M 102 Monografia moderna SBNMFondo|Cosenza000015-11.1SI161144CosenzadonoNmenleUNISOBUNISOB20131209120827.020131209120904.0menleDe legibus1549952UNISOB05029nam 22008055 450 99646576010331620200630043654.03-319-50137-210.1007/978-3-319-50137-6(CKB)3710000001006511(DE-He213)978-3-319-50137-6(MiAaPQ)EBC6283385(MiAaPQ)EBC5594707(Au-PeEL)EBL5594707(OCoLC)1076247014(PPN)197455182(EXLCZ)99371000000100651120161202d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierData Mining and Constraint Programming[electronic resource] Foundations of a Cross-Disciplinary Approach /edited by Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XII, 349 p. 73 illus.) Lecture Notes in Artificial Intelligence ;101013-319-50136-4 Introduction to Combinatorial Optimisation in Numberjack -- Data Mining and Constraints: An Overview -- New Approaches to Constraint Acquisition -- ModelSeeker: Extracting Global Constraint Models from Positive Examples -- Learning Constraint Satisfaction Problems: An ILP Perspective -- Learning Modulo Theories -- Algorithm Selection for Combinatorial Search Problems: A Survey -- Adapting Consistency in Constraint Solving -- Modeling in MiningZinc -- Partition-Based Clustering Using Constraint Optimisation -- The Inductive Constraint Programming Loop -- ICON Loop Carpooling Show Case -- ICON Loop Health Show Case -- ICON Loop Energy Show Case.A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on “Inductive Constraint Programming” and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases. .Lecture Notes in Artificial Intelligence ;10101Artificial intelligenceApplication softwareComputer simulationAlgorithmsDatabase managementData miningArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial intelligence.Application software.Computer simulation.Algorithms.Database management.Data mining.Artificial Intelligence.Information Systems Applications (incl. Internet).Simulation and Modeling.Algorithm Analysis and Problem Complexity.Database Management.Data Mining and Knowledge Discovery.006.312Bessiere Christianedthttp://id.loc.gov/vocabulary/relators/edtDe Raedt Lucedthttp://id.loc.gov/vocabulary/relators/edtKotthoff Larsedthttp://id.loc.gov/vocabulary/relators/edtNijssen Siegfriededthttp://id.loc.gov/vocabulary/relators/edtO'Sullivan Barryedthttp://id.loc.gov/vocabulary/relators/edtPedreschi Dinoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465760103316Data Mining and Constraint Programming2830684UNISA01923nas 2200529- 450 99648097080331620240226213017.02415-0525(DE-599)ZDB3015605-1(OCoLC)1096788322(CKB)3580000000000132(CONSER)--2022231614(EXLCZ)99358000000000013220161219a19949999 --- -engurmnu||||||||txtrdacontentcrdamediacrrdacarrierCommunitasBloemfontein :Unit for Community Communication, University of the Orange Free StateBloemfontein [South Africa] :University of the Free State1 online resource"Journal for community communication and information impact" (varies)1023-0556 Devoted to research and scholarship in communication and media studies, journalism.Journal for community communicationJoernaal vir gemeenskapskommunikasieCOMMUNITASCommunitasCommunity information servicesSouth AfricaPeriodicalsCommunicationSocial aspectsSouth AfricaPeriodicalsCommunicationSocial aspectsfast(OCoLC)fst00870009Community information servicesfast(OCoLC)fst00871014South AfricafastElectronic journals.Periodicals.fastPeriodicals.lcgftCommunity information servicesCommunicationSocial aspectsCommunicationSocial aspects.Community information services.University of the Orange Free State.Unit for Community Communication,JOURNAL996480970803316Communitas2998136UNISA