LEADER 01731nam a2200325 i 4500 001 991002281059707536 005 20020503163506.0 008 010104s1971 fr ||| | fre 035 $ab10342023-39ule_inst 035 $aEXGIL101292$9ExL 040 $aBiblioteca Interfacoltà$bita 082 0 $a335.2 100 1 $aProudhon, Pierre Joseph$0119612 245 10$aCorrespondance de P.-J. Proudhon /$cprécédée d'une notice sur P.-J. Proudhon par J.-A. Langlois 260 $aGenève :$bSlatkine reprints,$c1971 300 $a7 v. ;$c21 cm. 500 $aRipr. facs. dell'ed.: Paris, 1875 700 1 $aLanglois, Amédée Jérôme 907 $a.b10342023$b02-04-14$c27-06-02 912 $a991002281059707536 945 $aLE002 Fr. VII B 17 I$cV. 1$g1$i2002000968005$lle002$o-$pE0.00$q-$rl$so $t0$u0$v0$w0$x0$y.i10401830$z27-06-02 945 $aLE002 Fr. VII B 17 II$cV. 2$g1$i2002000968012$lle002$o-$pE0.00$q-$rl$so $t0$u0$v0$w0$x0$y.i10401842$z27-06-02 945 $aLE002 Fr. VII B 17 III$cV. 3$g1$i2002000968029$lle002$o-$pE0.00$q-$rl$so $t0$u0$v0$w0$x0$y.i10401854$z27-06-02 945 $aLE002 Fr. 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Proudhon$9199110 997 $aUNISALENTO 998 $ale002$b01-01-01$cm$da $e-$ffre$gfr $h0$i7 LEADER 04543nam 22007095 450 001 9910508460503321 005 20251113194654.0 010 $a3-030-90275-7 024 7 $a10.1007/978-3-030-90275-9 035 $a(MiAaPQ)EBC6803465 035 $a(Au-PeEL)EBL6803465 035 $a(CKB)19410616100041 035 $a(OCoLC)1285364531 035 $a(PPN)258842970 035 $a(DE-He213)978-3-030-90275-9 035 $a(EXLCZ)9919410616100041 100 $a20211111d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI and Analytics for Smart Cities and Service Systems $eProceedings of the 2021 INFORMS International Conference on Service Science /$fedited by Robin Qiu, Kelly Lyons, Weiwei Chen 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (413 pages) 225 1 $aLecture Notes in Operations Research,$x2731-0418 311 08$aPrint version: Qiu, Robin AI and Analytics for Smart Cities and Service Systems Cham : Springer International Publishing AG,c2021 9783030902742 320 $aIncludes bibliographical references and index. 327 $aDeep Learning and Prediction of Survival Period for Breast Cancer Patients -- Should Managers Care About Intra-Household Heterogeneity? -- Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications -- Prediction of Gasoline Octane Loss Based on t-SNE and Random Forest -- Introducing AI General Practitioners to Improve Healthcare Services -- A U-Net Architecture Based Model for Precise Air Pollution Concentration Monitoring -- An Interpretable Ensemble Model of Acute Kidney Disease Risk -- Algorithm for Predicting Bitterness of Children's Medication -- Intelligent Identification of High Emission Road Segment Based on Large-Scale Traffic Datasets -- Construction Cost Prediction for Multi-family Housing Projects based on Support Vector Regression -- Evolution of Intellectual Structure of Data Mining Research Based on Keywords -- Development of a Cost Optimization Algorithm for Food and Flora Waste to Fleet Fuel (F4). 330 $aThis book showcases state-of-the-art advances in service science and related fields of research, education, and practice. It presents emerging technologies and applications in contexts ranging from healthcare, energy, finance, and information technology to transportation, sports, logistics, and public services. Regardless of its size and service, every service organization is a service system. Due to the socio-technical nature of service systems, a systems approach must be adopted in order to design, develop and deliver services aimed at meeting end users? utilitarian and socio-psychological needs alike. Understanding services and service systems often requires combining multiple methods to consider how interactions between people, technologies, organizations and information create value under various conditions. The papers in this volume highlight a host of ways to approach these challenges in service science and are based on submissions to the 2021 INFORMS Conference on ServiceScience. 410 0$aLecture Notes in Operations Research,$x2731-0418 606 $aOperations research 606 $aService industries 606 $aQuantitative research 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aOperations Research and Decision Theory 606 $aServices 606 $aData Analysis and Big Data 606 $aMathematical and Computational Engineering Applications 615 0$aOperations research. 615 0$aService industries. 615 0$aQuantitative research. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 14$aOperations Research and Decision Theory. 615 24$aServices. 615 24$aData Analysis and Big Data. 615 24$aMathematical and Computational Engineering Applications. 676 $a338.4 702 $aQiu$b Robin G. 702 $aLyons$b Kelly E. 702 $aChen$b Weiwei 712 12$aINFORMS International Conference on Service Science 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910508460503321 996 $aAI and analytics for smart cities and service systems$92905028 997 $aUNINA