000			02822nam a2200241Ia 4500
003			NULRC
005			20250520102813.0
008			250520s9999 xx 000 0 und d
020			_a9781118877432
040			_cNULRC
050			_aHF 5548.2 .S44 2017
100			_aShmueli, Galit. _eauthor
245		0	_aData mining for business analytics : _bconcepts, techniques, and applications with JMP pro / _cGalit Shueli, Peter C. Bruce, Mia L. Stephens, and Nitin R. Patel
260			_aHoboken, New Jersey : _bJohn Wiley & Son, Inc., _cc2017
300			_axxii, 442 pages : _billustrations ; _c26 cm.
365			_bUSD106.84
504			_aIncludes bibliographical references and index.
505			_aPart I. preliminaries -- Part II. data exploration and dimension reduction -- Part III. performance evaluation -- Part IV. prediction and classification methods -- Part V. mining relationships among records -- Part Vi. forecasting time series -- Part VII. Cases.
520			_aData Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining. Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting. Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes: Detailed summaries that supply an outline of key topics at the beginning of each chapter; End-of-chapter examples and exercises that allow readers to expand their comprehension of the presented material; Data-rich case studies to illustrate various applications of data mining techniques; A companion website with over two dozen data sets, exercises and case study solutions, and slides for instructors. Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® is an excellent textbook for advanced undergraduate and graduate-level courses on data mining, predictive analytics, and business analytics. The book is also a one-of-a-kind resource for data scientists, analysts, researchers, and practitioners working with analytics in the fields of management, finance, marketing, information technology, healthcare, education, and any other data-rich field.
650			_aBUSINESS DATA PROCESSING
700			_aBruce, Peter C.;Stephens, Mia L.;Patel, Nitin R. _eco-author;co-author;co-author
942			_2lcc _cBK
999			_c15713 _d15713