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010 _a2019-025015
020 _a9789357461672
039 _a202507030942
_bstaff
_c202507030941
_d staff
_c202408271716
_d staff
_y 202408271711
_z staff
082 _a650.072
_bSHM
100 _aShmueli, Galit
245 _aData mining for business analytics :
_bconcepts, techniques and applications in Python /
_cGalit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel &O.P.Wali
260 _aNew Delhi :
_bJohn Wiley & Sons, Inc.,
_c2023.
300 _axxxii, 603 :
_bill,;
_c27cm
504 _aIncludes bibliographical references and index.
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"--
_cProvided by publisher.
588 _aDescription based on print version record and CIP data provided by publisher.
650 _aBusiness mathematics
_x Computer programs.
650 _aBusiness
_x Data processing.
650 _aData mining.
650 _aPython (Computer program language)
700 _aBruce, Peter C
700 _aGedeck, Peter
700 _aPatel, Nitin R.
_q (Nitin Ratilal)
700 _aWali,O.P
991 _aVIRTUA
991 _aVTLSSORT0060*0070*0080*0100*0200*0820*1000*2450*2600*3000*5040*5200*5880*6500*6501*6502*6503*7000*7001*7002*7003*9992
909 _a6038
999 _c5448
_d5448