03741nam 22006495 450 991048345100332120251223191608.03-030-35649-310.1007/978-3-030-35649-1(CKB)4940000000158719(MiAaPQ)EBC6005451(DE-He213)978-3-030-35649-1(PPN)243771460(EXLCZ)99494000000015871920200103d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData-Centric Business and Applications Evolvements in Business Information Processing and Management (Volume 3) /edited by Dmytro Ageyev, Tamara Radivilova, Natalia Kryvinska1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (233 pages)Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;423-030-35648-5 Data-Centric Formation of Marketing Logistic Business Model of Vegetable Market due to Zonal Specialization -- Optimization of the Process of Determining the Effectiveness of Advertising Communication -- Using Recurrent Neural Networks for Data-Centric Business -- System Model for Decision Making Support in Logistics and Quality Management Business Processes of Manufacture Enterprise -- Machine Learning Methods Applications for Estimating Unevenness Level of Regional Development -- Formal Modeling of Decision-Making Processes Under Transboundary Emergency Conditions -- Decision-Making Support System for Experts of Penal Law -- Infocommunication Tasks of University Information System -- Advanced Methods and Means of Authentication of Devices for Processing Business Information.Building on the authors’ previous work, this book addresses key processes and procedures used in information/data processing and management. Modern methods of business information processing, which draw on artificial intelligence, big data, and cloud-based storage and processing, are opening exciting new opportunities for doing business on the basis of information technologies. Thus, in this third book, the authors continue to explore various aspects – technological as well as business and social – of the information industries. Further, they analyze the challenges and opportunities entailed by these kinds of business.Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;42EngineeringData processingComputational intelligenceQuantitative researchArtificial intelligenceData EngineeringComputational IntelligenceData Analysis and Big DataArtificial IntelligenceEngineeringData processing.Computational intelligence.Quantitative research.Artificial intelligence.Data Engineering.Computational Intelligence.Data Analysis and Big Data.Artificial Intelligence.658.054650.0285Ageyev Dmytroedthttp://id.loc.gov/vocabulary/relators/edtRadivilova Tamaraedthttp://id.loc.gov/vocabulary/relators/edtKryvinska Nataliaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483451003321Data-Centric Business and Applications4206382UNINA