---
product_id: 6668359
title: "Data Mining and Business Analytics with R"
price: "€ 143.40"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.at/products/6668359-data-mining-and-business-analytics-with-r
store_origin: AT
region: Austria
---

# Data Mining and Business Analytics with R

**Price:** € 143.40
**Availability:** ✅ In Stock

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- **What is this?** Data Mining and Business Analytics with R
- **How much does it cost?** € 143.40 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/6668359-data-mining-and-business-analytics-with-r)

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## Description

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

Review: A New and Important Book - This is a timely and excellent book. Its greatest strength lies in the carefully presented statistical models coupled with diverse and interesting real-world examples. Ledolter effectively sets the stage in Chapter 1 for what is to follow by explaining the difference between traditional statistics applications and the problems for which data mining techniques are necessary. He highlights the nature of data mining problems and describes the techniques for addressing them that are discussed in subsequent chapters. The early chapters review traditional regression and logistic regression models with applications. Then the book moves quickly to lesser known techniques that are particularly useful for dealing with large data sets. These methods include nearest neighbor analysis, Bayesian analysis, regression and classification trees, clustering, and market basket analysis. The book ends with a comprehensive set of exercises. The last eight of the exercises are particularly valuable because they provide detailed worked examples and in a number of cases include alternative statistical approaches to the same problem. All of the final exercises are tied to the book's chapters, while all examples and exercises make use of the powerful and free R Statistical Software. The complete R code is available on the book and author websites.
Review: Useful Textbook - Back in school and going after a second Master's degree now. Needed this book for the class material. I find the class enjoyable enough, and this book is definitely helping me understand the class concepts.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #2,538,603 in Books ( See Top 100 in Books ) #608 in Business Statistics #760 in Data Mining (Books) #1,450 in Statistics (Books) |
| Customer Reviews | 4.3 out of 5 stars 45 Reviews |

## Images

![Data Mining and Business Analytics with R - Image 1](https://m.media-amazon.com/images/I/71Nx-K6AwgL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ A New and Important Book
*by Q***T on September 24, 2013*

This is a timely and excellent book. Its greatest strength lies in the carefully presented statistical models coupled with diverse and interesting real-world examples. Ledolter effectively sets the stage in Chapter 1 for what is to follow by explaining the difference between traditional statistics applications and the problems for which data mining techniques are necessary. He highlights the nature of data mining problems and describes the techniques for addressing them that are discussed in subsequent chapters. The early chapters review traditional regression and logistic regression models with applications. Then the book moves quickly to lesser known techniques that are particularly useful for dealing with large data sets. These methods include nearest neighbor analysis, Bayesian analysis, regression and classification trees, clustering, and market basket analysis. The book ends with a comprehensive set of exercises. The last eight of the exercises are particularly valuable because they provide detailed worked examples and in a number of cases include alternative statistical approaches to the same problem. All of the final exercises are tied to the book's chapters, while all examples and exercises make use of the powerful and free R Statistical Software. The complete R code is available on the book and author websites.

### ⭐⭐⭐⭐ Useful Textbook
*by A***I on August 21, 2018*

Back in school and going after a second Master's degree now. Needed this book for the class material. I find the class enjoyable enough, and this book is definitely helping me understand the class concepts.

### ⭐⭐⭐⭐⭐ Book in Great Condition, Arrived Early
*by B***X on August 17, 2022*

Book in Great Condition, Arrived Early

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-06-05*