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Data Mining for Business Analytics Concepts Techniques ~ Data Mining for Business Analytics Concepts Techniques and Applications in XLMiner® Third Edition presents an applied approach to data mining and predictive analytics with clear exposition handson exercises and reallife case studies Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® addin XLMiner® to develop predictive models and learn how to obtain business value from Big Data
Data Mining for Business Intelligence Concepts ~ This book is intended for the business student and practitioner of data mining techniques and the goal is threefold 1 to provide both a theoretical and practical understanding of the key methods of classification prediction reduction and exploration that are at the heart of data mining 2 to provide a business decisionmaking context for
Data Mining for Business Intelligence Concepts ~ Data Mining for Business Intelligence Second Edition is an excellent book for courses on data mining forecasting and decision support systems at the upperundergraduate and graduate levels It is also a oneofakind resource for analysts researchers and practitioners working with quantitative methods in the fields of business finance marketing computer science and information technology
Data Mining for Business Analytics Concepts Techniques ~ Data Mining for Business Analytics Concepts Techniques and Applications in XLMiner® Third Edition is an ideal textbook for upperundergraduate and graduatelevel courses as well as professional programs on data mining predictive modeling and Big Data analytics The new edition is also a unique reference for analysts researchers and practitioners working with predictive analytics in the fields of business finance marketing computer science and information technology
Data Mining for Business Analytics Concepts Techniques ~ Data Mining for Business Analytics Concepts Techniques and Applications in R is an ideal textbook for graduate and upperundergraduate level courses in data mining predictive analytics and business analytics This new edition is also an excellent reference for analysts researchers and practitioners working with quantitative methods in the fields of business finance marketing computer science and information technology
Data Mining for Business Analytics Concepts Techniques ~ Data Mining for Business Analytics Concepts Techniques and Applications in XLMiner® Third Edition is an ideal textbook for upperundergraduate and graduatelevel courses as well as professional programs on data mining predictive modeling and Big Data analytics The new edition is also a unique reference for analysts researchers and practitioners working with predictive analytics in the fields of business finance marketing computer science and information technology
Data Mining for Business Intelligence Concepts Techniques ~ Data Mining for Business Intelligence Second Edition is an excellent book for courses on data mining forecasting and decision support systems at the upperundergraduate and graduate levels It is also a oneofakind resource for analysts researchers and practitioners working with quantitative methods in the fields of business finance marketing computer science and information technology
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Data Mining for Business Analytics Concepts Techniques ~ This textbook is used at over 560 universities colleges and business schools around the world including MIT Sloan Yale School of Management Caltech UMD Cornell Duke McGill HKUST ISB KAIST and hundreds of others See the list of Adopting Universities Check out the Google map
Data Mining for Business Analytics Concepts Techniques ~ Data Mining for Business Analytics Concepts Techniques and Applications in Microsoft® Office Excel® with XLMiner® Third Edition presents an applied approach to data mining and predictive analytics with clear exposition handson exercises and reallife case studies Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® addin XLMiner® to develop predictive models and learn how to obtain business value from Big Data
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