000			03796nam a22005895i 4500
001			978-3-658-38798-3
003			DE-He213
005			20240423125013.0
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008			221219s2023 gw | s |||| 0|eng d
020			_a9783658387983 _9978-3-658-38798-3
024	7		_a10.1007/978-3-658-38798-3 _2doi
050		4	_aQ336
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245	1	0	_aApply Data Science _h[electronic resource] : _bIntroduction, Applications and Projects / _cedited by Thomas Barton, Christian Müller.
250			_a1st ed. 2023.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2023.
300			_aXIII, 232 p. 78 illus., 61 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications.
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.
650		0	_aArtificial intelligence _xData processing.
650		0	_aInformation storage and retrieval systems.
650		0	_aData mining.
650		0	_aBusiness information services.
650		0	_aBusiness _xData processing.
650		0	_aBig data.
650	1	4	_aData Science.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aIT in Business.
650	2	4	_aBusiness Informatics.
650	2	4	_aBig Data.
700	1		_aBarton, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMüller, Christian. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783658387976
776	0	8	_iPrinted edition: _z9783658387990
856	4	0	_uhttps://doi.org/10.1007/978-3-658-38798-3
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
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999			_c173138 _d173138