LEADER 09460nam 22009495 450 001 996418939103316 005 20210324034602.0 024 7 $a10.2478/9788395720475 035 $a(CKB)4100000011569262 035 $a(DE-B1597)551644 035 $a(DE-B1597)9788395720475 035 $a(OCoLC)1243310320 035 $a(EXLCZ)994100000011569262 100 $a20210324h20212020 fg 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aThe 25th PGV Network Conference $eManagement and evolution of the European Union member states in the Big Data era /$fPellat Ghislaine, Anghelache Constantin 210 1$aWarsaw ;$aBerlin : $cSciendo, $d[2021] 210 4$d©2020 215 $a1 online resource 311 $a83-957204-7-5 327 $tFrontmatter -- $tContents -- $tPME and «BIG DATA»: governance and transformations -- $tModel of investing in the big data era -- $tBig Data: towards smart and sustainable health -- $tBusiness sector opportunities: Big data analysis focusing on unpaid work -- $tElectronic invoicing and Big Data: what value / forecasting capacity? -- $t"Business intelligence" and "Big Data": A winning connection for management of enterprises -- $tBlockchain in the Big Data era -- $tAnalysis of the evolution of international trade in the Big Data conditions -- $tInformatics and bank transfers in the Big Data era -- $tBig Data considerations and their impact on organizations -- $tThe influence of ecological constraints on the development of Big Data -- $tThe impact of consolidation on university positions in rankings in EU member states -- $tSmart tourism management. Regression model on the influence of research and development expenditures on the functional accommodation capacity in Cluj County -- $tThe GAFAs know us better than we know ourselves -- $tModels of social security analysis -- $tAnalysis of the economic evolution of the EU member states in the context of the Big Data -- $tBig Data and the success of the didactic approach in Romanian universities -- $tPossible uses of spatial data in the geographic information system -- $tHow is the healthcare system in Romania healthy? -- $tApplication of Big Data in the medical technology evaluation process -- $tBig Data at the service of the intercultural -- $tHow does the use of the GDPR affect consumer behavior during internet actions? -- $tResearch, technology and innovations, economic growth factors in the member states of the European Union in the context of Big Data -- $tIn the Big Data era is there a long-term relationship between the international stock market indices? -- $tModel for estimating the inflation dynamics in the capital market analysis 330 $aThe 25th PGV Network Conference ist in den folgenden Services indiziert: EBSCO Discovery Service Google Scholar Naviga (Softweco) Primo Central (ExLibris) Summon (Serials Solutions/ProQuest) TDOne (TDNet) WorldCat (OCLC) 330 $aThe inclusion of "Big Data" in financial markets accelerates the speed of decision-making and boosts stock markets. The appearance of virtual currencies is concomitant to the management of "Big Data" and secures transactions via the Blockchain. New behaviors are observed on the markets thanks to algorithmic optimizations or via the technology of the "Blockchain". Commercial markets are impacted by the fact that market analysis, through Big Data, challenges traditional approaches to marketing. "Big Data", because of fast, real-time analysis and the use of data of various natures, allows a better decision-making whether it is in the medical field or in the taxation of countries. The use of internet tools places the customer or employees in direct contact with organizations and companies. The mass processing of all these large amounts of data requires computer or robotic tools whose raw material to work is energy. The data collection tools require co-operation directly with individuals and social groups. This induces important changes in the ways of acting or even designing services with the actors. Due to the large volume of processed data, the data analysis is refined and allows calculations with very large data volumes using new specific methods. The speed of data processing is facilitated by the participation of the individual or social groups in the sense that the collection of data enriches the "Big Data" while respecting the authorization given by the citizen/client. The variety of data makes it possible to improve medical diagnoses and help to set up prevention policies that are less costly than healthcare policies This does not fail to question the citizen/client as to his responsibility vis-ŕ-vis the authorization given to manage his data by the websites frequented. "The 25th PGV Network Conference" was held on 12-13 September 2019 in Bucharest, Romania. The 25th PGV Network Conference is covered by the following services: EBSCO Discovery Service Google Scholar Naviga (Softweco) Primo Central (ExLibris) Summon (Serials Solutions/ProQuest) TDOne (TDNet) WorldCat (OCLC) 606 $aCOMPUTERS / General$2bisacsh 615 7$aCOMPUTERS / General. 702 $aAlpi$b Dante, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aAnghel$b M?d?lina-Gabriela, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aAnghelache$b Constantin, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aArmeanu$b Daniel ?tefan, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aBadea$b Leonardo, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aBarbu$b Cristian Marian, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aBourdon$b Muriel, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aBoyer$b André, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aB?rbulescu$b Adina, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aCalvo$b Elisabetta, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aCarp$b Ana, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aConstantin$b Anghelache, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDano$b Ferdinand, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aDominici$b Martina, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aDumbrav?$b Gabriel ?tefan, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aD?nescu$b Tatiana, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGermini$b Alessia Melasecche, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGheorghe$b Alina, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGherghina$b ?tefan Cristian, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGhislaine$b Pellat, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHa?egan$b Drago?-Alexandru, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aHoareau$b Emilie, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aHorehájová$b Mária, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aIacob$b ?tefan Virgil, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aImbrescu$b Ion, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aJolde?$b Camelia C?t?lina, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aKeresty$b Jan, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aKita$b Jaroslav, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aKita$b Pavol, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aKnapková$b Miroslava, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aKollar$b Patricia, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aLacová$b ?aneta, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aMarasová$b Jana, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aMorelon$b Camille, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aNunziangeli$b Luigi, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aPagliacci$b Mario G.R., $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aPellat$b Ghislaine, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aPetrescu$b Iordan, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aSani$b Sara, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aSeliga$b Robert, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aSu?kowski$b ?ukasz, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aSîrghi$b Nicoleta, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aUdrescu$b Mircea Alecsandru, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aUramová$b Mária, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aWo?niak$b Andrzej, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $a?imon$b Adrian, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $a?tefan$b Liana, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a996418939103316 996 $aThe 25th PGV Network Conference$92045190 997 $aUNISA LEADER 03946nam 22005415 450 001 9910726273703321 005 20251107151027.0 010 $a9783031334986$b(electronic bk.) 010 $z9783031334979 024 7 $a10.1007/978-3-031-33498-6 035 $a(MiAaPQ)EBC30546049 035 $a(Au-PeEL)EBL30546049 035 $a(OCoLC)1379804810 035 $a(DE-He213)978-3-031-33498-6 035 $a(BIP)091205994 035 $a(PPN)27061236X 035 $a(CKB)26711706300041 035 $a(EXLCZ)9926711706300041 100 $a20230518d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling Decisions for Artificial Intelligence $e20th International Conference, MDAI 2023, Umeĺ, Sweden, June 19?22, 2023, Proceedings /$fedited by Vicenç Torra, Yasuo Narukawa 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (274 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13890 311 08$aPrint version: Torra, Vicenç Modeling Decisions for Artificial Intelligence Cham : Springer International Publishing AG,c2023 9783031334979 320 $aIncludes bibliographical references and index. 327 $aLogic Aggregators and Their Implementations -- Decision making and uncertainty -- Multi-Target Decision Making under Conditions of Severe Uncertainty -- Constructive set function and extraction of a k-dimensional element -- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain -- Discrete chain-based Choquet-like operators -- On a new generalization of decomposition integrals -- Bipolar OWA operators with continuous input function -- Machine Learning and data science -- Cost-constrained group feature selection using information theory -- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option -- Adapting the Gini's index for solving Predictive Tasks -- Bayesian logistic model for positive and unlabeled data -- A goal-oriented specification language for reinforcement learning -- Improved Spectral Norm Regularization for NeuralNetworks -- Preprocessing Matters: Automated Pipeline Selection for Fair Classification -- Predicting Next Whereabouts using Deep Learning -- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size -- Data privacy -- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks -- Differential Privacy through Noise-Graph Addition. 330 $aThis book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeĺ, Sweden, during June19?22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13890 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a929.605 676 $a006.3 702 $aTorra$b Vicenc? 702 $aNarukawa$b Yasuo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726273703321 996 $aModeling Decisions for Artificial Intelligence$9772296 997 $aUNINA