Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying R Data Mining
  • Table Of Contents Toc
  • Feedback & Rating feedback
R Data Mining

R Data Mining

By : Andrea Cirillo
5 (2)
close
close
R Data Mining

R Data Mining

5 (2)
By: Andrea Cirillo

Overview of this book

R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data. Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets.
Table of Contents (16 chapters)
close
close
14
Epilogue

Why to Choose R for Your Data Mining and Where to Start

 Since this is our first step on the journey to R knowledge, we have to be sure to acquire all the tools and notions we will use on our trip. You are probably already an R enthusiast and would like to discover more about it, but maybe you are not so sure why you should invest time in learning it. Perhaps you lack confidence in defining its points of strength and weakness, and therefore you are not sure it is the right language to bet on. Crucially, you do not actually know where and how to practically begin your journey to R mastery. The good news, is you will not have to wait long to solve all of these issues, since this first chapter is all about them.

In particular, within this chapter we will:

  • Look at the history of R to understand where everything came from
  • Analyze R's points of strength, understanding why it is a savvy idea to learn this programming language
  • Learn how to install the R language on your computer and how to write and run R code
  • Gain an understanding of the R language and the foundation notions needed to start writing R scripts
  • Understand R's points of weakness and how to work around them

By the end of the chapter, we will have all the weapons needed to face our first real data mining problem.

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
R Data Mining
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon