LEADER 04363nam 22008295 450 001 9910637710203321 005 20241125093646.0 010 $a3-658-38798-X 024 7 $a10.1007/978-3-658-38798-3 035 $a(MiAaPQ)EBC7165692 035 $a(Au-PeEL)EBL7165692 035 $a(CKB)25913875900041 035 $a(DE-He213)978-3-658-38798-3 035 $a(PPN)267816669 035 $a(EXLCZ)9925913875900041 100 $a20221219d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApply Data Science $eIntroduction, Applications and Projects /$fedited by Thomas Barton, Christian Müller 205 $a1st ed. 2023. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2023. 215 $a1 online resource (233 pages) 300 $aIncludes index. 311 08$aPrint version: Barton, Thomas Apply Data Science Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023 9783658387976 327 $aIntroduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications. 330 $aThis 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. 606 $aArtificial intelligence?Data processing 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aBusiness information services 606 $aBusiness?Data processing 606 $aBig data 606 $aData Science 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 606 $aIT in Business 606 $aBusiness Informatics 606 $aBig Data 606 $aDades massives$2thub 606 $aProcessament de dades$2thub 606 $aAprenentatge automàtic$2thub 606 $aMineria de dades$2thub 608 $aLlibres electrònics$2thub 615 0$aArtificial intelligence?Data processing. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 0$aBusiness information services. 615 0$aBusiness?Data processing. 615 0$aBig data. 615 14$aData Science. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 615 24$aIT in Business. 615 24$aBusiness Informatics. 615 24$aBig Data. 615 7$aDades massives 615 7$aProcessament de dades 615 7$aAprenentatge automàtic 615 7$aMineria de dades 676 $a005.7 702 $aMu?ller$b Christian 702 $aBarton$b Thomas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910637710203321 996 $aApply data science$93090582 997 $aUNINA