Friday, 8 April 2016

Data Mining Methods and Models by Daniel T. Larose

Book Description
This book provides in introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis. It presents a unified approach based on CRISP methodology (involves Strategic Risk Assessment based on Organizational Modelling).

Table of Contents
1.  Dimension Reduction Methods
2.  Regression Modeling
3.  Multiple Regression and Model Building
4.  Logistic Regression
5.  Naive Bayes Estimation and Bayesian Networks
6.  Genetic Algorithms
7.  Case Study: Modeling Response to Direct Mail Marketing

You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (BOOK)

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.


Post a Comment