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001454011 001__ 1454011
001454011 003__ OCoLC
001454011 005__ 20230314003457.0
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001454011 007__ cr\un\nnnunnun
001454011 008__ 230119s2023\\\\gw\a\\\\ob\\\\001\0\eng\d
001454011 019__ $$a1356796741$$a1357017174
001454011 020__ $$a9783658387983$$q(electronic bk.)
001454011 020__ $$a365838798X$$q(electronic bk.)
001454011 020__ $$z9783658387976
001454011 020__ $$z3658387971
001454011 0247_ $$a10.1007/978-3-658-38798-3$$2doi
001454011 035__ $$aSP(OCoLC)1362484476
001454011 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCQ$$dN$T
001454011 049__ $$aISEA
001454011 050_4 $$aQA76.9.B45
001454011 08204 $$a005.7$$223/eng/20230119
001454011 24500 $$aApply data science :$$bintroduction, applications and projects /$$cThomas Barton, Christian Müller, editors.
001454011 264_1 $$aWiesbaden :$$bSpringer Vieweg,$$c2023.
001454011 300__ $$a1 online resource (xiii, 232 pages) :$$billustrations (some color)
001454011 336__ $$atext$$btxt$$2rdacontent
001454011 337__ $$acomputer$$bc$$2rdamedia
001454011 338__ $$aonline resource$$bcr$$2rdacarrier
001454011 504__ $$aIncludes bibliographical references and index.
001454011 5050_ $$aIntroduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications.
001454011 506__ $$aAccess limited to authorized users.
001454011 520__ $$aThis book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown. The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers. The Content Introduction to Data Science Systems, tools and methods Applications The target groups IT consultants and management consultants Project managers and project staff Students and teachers of business informatics, computer science and business administration The editors Prof. Dr Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science. Prof. Dr Christian Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies.
001454011 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 19, 2023).
001454011 650_0 $$aBig data.
001454011 650_0 $$aElectronic data processing.
001454011 650_0 $$aMachine learning.
001454011 650_0 $$aData mining.
001454011 655_0 $$aElectronic books.
001454011 7001_ $$aBarton, Thomas,$$eeditor.
001454011 7001_ $$aMüller, Christian,$$eeditor.
001454011 77608 $$iPrint version:$$aBarton, Thomas$$tApply Data Science$$dWiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023$$z9783658387976
001454011 852__ $$bebk
001454011 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-38798-3$$zOnline Access$$91397441.1
001454011 909CO $$ooai:library.usi.edu:1454011$$pGLOBAL_SET
001454011 980__ $$aBIB
001454011 980__ $$aEBOOK
001454011 982__ $$aEbook
001454011 983__ $$aOnline
001454011 994__ $$a92$$bISE