LEADER 01370nam0-22003731i-450- 001 990003656160403321 005 20141125103531.0 035 $a000365616 035 $aFED01000365616 035 $a(Aleph)000365616FED01 035 $a000365616 100 $a20030910g19169999km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay-------001yy 200 1 $a<>moderne kapitalismus$ehistorisch-systematische Darstellung des gesamteur opaischen Wirtschaftslebens von seinen Anfangen bis zur Gegenwart$fWerner Sombart 205 $a2. Aufl 210 $aMünchen ; Leipzig$cDuncker & Humblot$d1916 215 $av.$d25 cm 327 0 $a1.: Einleitung ; Der Vorkapitalische Wirtschaft ; Die historischen Grundlagen des modernen Kapitalismus$a2.1.: Das europäische Wirtschaftsleben im Zeitalter des Frühkapitalismus$a2.2.: Das europäische Wirtschaftsleben im Zeitalter des Frühkapitalismus 610 0 $aCapitalismo 676 $a330.122 700 1$aSombart,$bWerner$f<1863-1941>$033058 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003656160403321 952 $aSE 031.05.06-$b05624$fDECSE 952 $aXV E 79 (1)$b53159$fFGBC 952 $aXV E 79 (2.1)$b53159$fFGBC 952 $aXV E 79 (2.2)$b53159$fFGBC 959 $aDECSE 959 $aFGBC 996 $aModerne Kapitalismus$929745 997 $aUNINA LEADER 04093nam 22006135 450 001 9910678245503321 005 20251008163457.0 010 $a3-031-22408-6 024 7 $a10.1007/978-3-031-22408-9 035 $a(MiAaPQ)EBC7207294 035 $a(Au-PeEL)EBL7207294 035 $a(CKB)26183427400041 035 $a(DE-He213)978-3-031-22408-9 035 $a(PPN)269097473 035 $a(EXLCZ)9926183427400041 100 $a20230301d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Data and Algorithms for e-Government /$fedited by Christophe Gaie, Mayuri Mehta 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (244 pages) 225 1 $aArtificial Intelligence-Enhanced Software and Systems Engineering,$x2731-6033 ;$v5 311 08$aPrint version: Gaie, Christophe Recent Advances in Data and Algorithms for E-Government Cham : Springer International Publishing AG,c2023 9783031224072 320 $aIncludes bibliographical references. 327 $aConceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens? Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia. 330 $aThis book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand theongoing modernization of public services. 410 0$aArtificial Intelligence-Enhanced Software and Systems Engineering,$x2731-6033 ;$v5 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData Engineering 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aData Engineering. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a352.3802854678 676 $a350.000285 702 $aGaie$b Christophe 702 $aMehta$b Mayuri 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910678245503321 996 $aRecent Advances in Data and Algorithms for E-Government$93071615 997 $aUNINA