Machine learning for business analytics : concepts, techniques, and applications with Analytic Solver® Data Mining

"This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV goes into prediction and classification methods. Part V shows how mining relationships among records are determined before the book moves to forecasting time series in Part VI. The book closes with a more in-depth look at data analytics in Part VII and case studies in Part VIII"--