000			01862cam a2200253 i 4500
003			NSB
005			20240202174645.0
008			200113s2020 nju ob 001 0 eng
020			_a9789357461672 _c949
040			_aDLC _beng
082	0	0	_a650.072
100	1		_aShmueli, Galit,
245	1	0	_aData mining for business analytics : _bconcepts, techniques and applications in R / _cGalit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel.
300			_a1 online resource
520			_a"This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions"--
650		0	_aBusiness mathematics _xComputer programs.
650		0	_aBusiness _xData processing.
650		0	_aData mining.
650		0	_aPython (Computer program language)
700	1		_aBruce, Peter C., _d1953-
700	1		_aGedeck, Peter,
700	1		_aPatel, Nitin R.
942			_2ddc _cBK
999			_c1226 _d1226