000			04027cam a2200457 i 4500
999			_c9099 _d9099
001			18008812
005			20210216105043.0
008			140115s2014 flua b 001 0 eng d
010			_a 2013049469
020			_a9781466568709 (hardback)
020			_a1466568704 (hardback)
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aHD30.28 _b.B544 2014
082	0	0	_a658.4012 _223 _bB
245	0	0	_aBig data, mining, and analytics : _bcomponents of strategic decision making / _cStephan Kudyba ; foreword by Thomas H. Davenport.
264		1	_aBoca Raton : _bTaylor & Francis, _c[2014]
300			_axv, 305 pages : _billustrations (some color) ; _c25 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_aBusiness bookfair2015
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction to the Big Data Era. Information Creation through Analytics. Big Data Analytics-Architectures, Implementation. Methodology, and Tools. Data Mining Methods and the Rise of Big Data. Data Management and Model Creation Process of Structured Data for Mining and Analytics. The Internet: A Source of New Data for Mining in Marketing. Mining and Analytics in E-Commerce. Streaming Data in the Age of Big Data. Using CEP for Real-Time Data Mining. Transforming Unstructured Data into Useful Information. Mining Big Textual Data. The New Medical Frontier: Real-Time Wireless Medical Data Acquisition for 21st-Century Healthcare and Data Mining Challenges.
520			_a"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet--which leads to another vast data source. When all these bits are combined with those from other media--wireless and wired telephony, cable, satellite, and so forth--the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context"-- _cProvided by publisher.
650		0	_aStrategic planning _xData processing.
650		0	_aData mining.
650		0	_aBig data.
650		0	_aBusiness planning _xData processing. _931661
650		0	_aWebometrics.
650		0	_aData loggers.
650		7	_aCOMPUTERS / Database Management / General. _2bisacsh
650		7	_aCOMPUTERS / Database Management / Data Mining. _2bisacsh
650		7	_aCOMPUTERS / Information Technology. _2bisacsh
700	1		_aKudyba, Stephan, _d1963- _eeditor of compilation. _933147
856	4	2	_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/4008
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK