Data Mining Methods and Models by Daniel T.Larose

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Data Mining Methods and Models by Daniel T.Larose

About Course

Data Mining Methods and Models by Daniel T.Larose

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 Also
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 softwareWalks 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” Also

Tests the reader’s level of understanding of the concepts and methodologies, with over 110 chapter exercises Also

Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software Also

Includes a companion Web site, www.dataminingconsultant.com, 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(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. Also

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. Also

An Instructor’s Manual presenting detailed solutions to all the problems in the book is available onlne. Also