04363nam 22008295 450 991063771020332120241125093646.03-658-38798-X10.1007/978-3-658-38798-3(MiAaPQ)EBC7165692(Au-PeEL)EBL7165692(CKB)25913875900041(DE-He213)978-3-658-38798-3(PPN)267816669(EXLCZ)992591387590004120221219d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApply Data Science Introduction, Applications and Projects /edited by Thomas Barton, Christian Müller1st ed. 2023.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Vieweg,2023.1 online resource (233 pages)Includes index.Print version: Barton, Thomas Apply Data Science Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023 9783658387976 Introduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications.This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown. The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers. The Content Introduction to Data Science Systems, tools and methods Applications The target groups IT consultants and management consultants Project managers and project staff Students and teachers of business informatics, computer science and business administration The editors Prof. Dr Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science. Prof. Dr Christian Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies.Artificial intelligence—Data processingInformation storage and retrieval systemsData miningBusiness information servicesBusiness—Data processingBig dataData ScienceInformation Storage and RetrievalData Mining and Knowledge DiscoveryIT in BusinessBusiness InformaticsBig DataDades massivesthubProcessament de dadesthubAprenentatge automàticthubMineria de dadesthubLlibres electrònicsthubArtificial intelligence—Data processing.Information storage and retrieval systems.Data mining.Business information services.Business—Data processing.Big data.Data Science.Information Storage and Retrieval.Data Mining and Knowledge Discovery.IT in Business.Business Informatics.Big Data.Dades massivesProcessament de dadesAprenentatge automàticMineria de dades005.7Müller ChristianBarton ThomasMiAaPQMiAaPQMiAaPQBOOK9910637710203321Apply data science3090582UNINA