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