000			02191cam a2200301 i 4500
001			18053182
003			APU
005			20171108115845.0
008			140303s2014 njua b 001 0 eng
010			_a 2014005823
020			_a9781118618042 (hbk.)
040			_aDLC _beng _cAPU _dNIK
042			_apcc
050	0	0	_aHD30.2 _b.D39 2014
100	1		_aDean, Jared. _933985
245	1	0	_aBig data, data mining and machine learning : _bvalue creation for business leaders and practitioners / _cJared Dean.
260			_aHoboken, NJ : _bJohn Wiley & Sons, _cc2014.
300			_axix, 265 p. : _bill. ; _c24 cm.
490	0		_aWiley & SAS business series
504			_aIncludes bibliographical references (p. 247-251) and index.
520			_a"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"--
650		0	_aManagement _xData processing. _96510
650		0	_aData mining. _9491
650		0	_aBig data. _933986
650		0	_aDatabase management. _9124
650		0	_aInformation technology _xManagement. _9688
942			_2lcc _cBook
999			_c363853 _d363853