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003			BUT
005			20230512120922.0
006			m o d
007			cr|mn|---annan
008			20220514s2022 xx |||||o ||| Eng|| d
020			_a9783030783075
040			_aoapen _coapen
041	0		_aeng
080			_a004
100	1		_aCurry, Edward _4edt
245	1	0	_aTechnologies and Applications for Big Data Value
260			_aCham _bSpringer Nature _c2022
300			_a1 electronic resource (544 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aThis open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.
540			_aCreative Commons _fby/4.0/ _2cc
546			_aEnglish
650		0	_aИскусственный интеллект _2bicssc _94518
650		0	_aБазы данных _92229
653			_aBig Data
653			_aData Management
653			_aData Processing
653			_aData Analytics
653			_aData Visualisation and User Interaction
653			_aKnowledge Discovery
653			_aInformation Retrieval
700	1		_aAuer, Sören _4edt
700	1		_aBerre, Arne J. _4edt
700	1		_aMetzger, Andreas _4edt
700	1		_aPerez, Maria S. _4edt
700	1		_aZillner, Sonja _4edt
700	1		_aCurry, Edward _4oth
700	1		_aAuer, Sören _4oth
700	1		_aBerre, Arne J. _4oth
700	1		_aMetzger, Andreas _4oth
700	1		_aPerez, Maria S. _4oth
700	1		_aZillner, Sonja _4oth
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/54415/1/978-3-030-78307-5.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/81694 _70 _zDescription
909			_c4 _dDarya Shvetsova
942			_2udc _cEE
999			_c6556 _d6556