Apply powerful data mining methods and models to leverage your data for actionable results. "Data Mining Methods and Models" provides: the latest techniques for uncovering hidden nuggets of information; the insight into how the data mining algorithms actually work; and, the hands-on experience of performing data mining on large data sets. "Data Mining Methods and Models": applies a 'white box' methodology, emphasizing an understanding of the model structures underlying the software; walks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, 'Modeling Response to Direct-Mail Marketing'; tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises; demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software; and, includes a companion Web site, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources.
Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint[registered] presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An instructor's manual presenting detailed solutions to all the problems in the book is available online.
