(eBook PDF) Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

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Product details:

• ISBN-10 ‏ : ‎ 1118879368
• ISBN-13 ‏ : ‎ 978-1118879368
• Author: Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration
Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities.

Table of contents:

PART I PRELIMINARIES

CHAPTER 1 Introduction

CHAPTER 2 Overview of the Data Mining Process

PART II DATA EXPLORATION AND DIMENSION REDUCTION

CHAPTER 3 Data Visualization

CHAPTER 4 Dimension Reduction

PART III PERFORMANCE EVALUATION

CHAPTER 5 Evaluating Predictive Performance

PART IV PREDICTION AND CLASSIFICATION METHODS

CHAPTER 6 Multiple Linear Regression

CHAPTER 7 k-Nearest Neighbors (kNN)

CHAPTER 8 The Naive Bayes Classifier

CHAPTER 9 Classification and Regression Trees

CHAPTER 10 Logistic Regression

CHAPTER 11 Neural Nets

CHAPTER 12 Discriminant Analysis

CHAPTER 13 Combining Methods: Ensembles and Uplift Modeling

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