Data Mining Methods and Models applies a ¡°white box¡±
methodology, emphasizing an understanding of the model structures underlying
data mining software, while walking you through the various algorithms and
operations on actual large data sets, including a detailed case study, ¡°Modeling
Response to DirectMail Marketing.¡± 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.
Download Description
Provides an introduction into data mining methods and models, including
association rules, clustering, Knearest neighbor, statistical inference, neural
networks, linear and logistic regression, and multivariate analysis Presents a
unified approach based on CRISP methodology, which involves Strategic Risk
Assessment based on Organizational Mode A companion Web site features downloads
of large data sets used in the chapter projects, with a discussion area and
message board, where readers are encouraged to exchange ideas
From the Back Cover
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
 The handson 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
DirectMail 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
 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
