Books  Data Analysis & Modelling  Data Analysis & Statistics 

Data Mining with R: Learning with Case Studies

New Edition
Describes code and approaches that can be easily reproduced or adapted to your own problems
Requires no prior experience with R or ggplot
Includes introductions to R and MySQL basics
Provides a fundamental understanding of the merits, drawbacks, and analysis objectives of the data mining techniques

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

By: Luis Torgo (Author)

420 pages, 50 b/w illustrations

Apple Academic Press

Hardback | Dec 2016 | Edition: 2 | #230618 | ISBN-13: 9781482234893
Available for pre-order: Due Dec 2016 Details
NHBS Price: £54.99 $70/€66 approx
Hardback | Nov 2010 | Edition: 1 | #189243 | ISBN-13: 9781439810187
Availability: Usually dispatched within 6 days Details
NHBS Price: £60.99 $78/€73 approx

About this book

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up to-date with recent packages that have emerged in R.

Data Mining with R does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.

Data Mining with R is accompanied by a set of freely available R source files that can be obtained at the book's web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book.

Designed for users of data analysis tools, as well as researchers and developers, Data Mining with R should be useful for anyone interested in entering the "world" of R and data mining.


Contents

Introduction
- How to Read This Book
- A Short Introduction to R
- A Short Introduction to MySQL

Predicting Algae Blooms
- Problem Description and Objectives
- Data Description
- Loading the Data into R
- Data Visualization and Summarization
- Unknown Values
- Obtaining Prediction Models
- Model Evaluation and Selection
- Predictions for the 7 Algae

Predicting Stock Market Returns
- Problem Description and Objectives
- The Available Data
- Defining the Prediction Tasks
- The Prediction Models
- From Predictions into Actions
- Model Evaluation and Selection
- The Trading System

Detecting Fraudulent Transactions
- Problem Description and Objectives
- The Available Data
- Defining the Data Mining Tasks
- Obtaining Outlier Rankings

Classifying Microarray Samples
- Problem Description and Objectives
- The Available Data
- Gene (Feature) Selection
- Predicting Cytogenetic Abnormalities

Bibliography
Index
Index of Data Mining Topics
Index of R Functions


Write a review

There are currently no reviews for this product. Be the first to review this product!


Biography

Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

Bestsellers in this subject

Camera Trapping for Wildlife Research

NHBS Price: £34.99 $45/€42 approx

Choosing and Using Statistics

NHBS Price: £28.50 $36/€34 approx

Statistics for Ornithologists

NHBS Price: £11.90 $15/€14 approx

The R Book

NHBS Price: £65.50 $83/€78 approx

Statistics for Ecologists Using R and Excel

NHBS Price: £29.99 $38/€36 approx