Data Mining with R

Name: Data Mining with R
Brand: Unknown
SKU: 9781482234893
Price: 196.0 NZD
Availability: InStock

Learning with Case Studies, Second Edition

By Luis Torgo

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

0.0 (0 reviews)

3.79

( 87 ratings, 8 reviews)

Summary

Data Mining with R: Learning with Case Studies, Second Edition offers a practical introduction to data mining using R, presenting updated case studies with modern R packages. The book is split into two sections: foundational concepts including an introduction to data mining and R, and hands-on case studies designed to be accessible without prior knowledge of R.

Accompanied by freely available source code, this volume supports a practical, exploratory approach, suitable for users new to data mining or R.
Read More

Format: Hardback

$196⁰⁰

AVAILABLE WITH SUPPLIER Ships from our Auckland warehouse within 4-6 weeks

Found a better price? Request a price match

Data Mining with R

$196⁰⁰

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for data analysts, researchers, and developers seeking to gain practical experience with data mining in R, especially beginners looking for a self-contained, case study-based learning resource.

Description

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 features introductory material, including a new chapter that provides an introduction to data mining, complementing the existing introduction to R. The second part includes case studies, with a significant revision of the R code to align with recent packages that have emerged in R.

The book 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, which are designed to be self-contained, allowing the reader to start anywhere in the document.

The book is accompanied by a set of freely available R source files that can be obtained from the book’s website. These files include all the code used in the case studies and facilitate the "do-it-yourself" approach followed in the book.

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

About the Author

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 programme. 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.

Book Details

INFORMATION

ISBN: 9781482234893

Publisher: Taylor & Francis Inc

Format: Hardback

Date Published: 19 January 2017

Country: United States

Imprint: Chapman & Hall/CRC

Edition: 2nd edition

Illustration: 85 Illustrations, black and white

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 1133g

Pages: 426

Collections

Computing & Technology Education & Reference Luis Torgo Non-Fiction Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

About the Author

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.