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You're reading from R Data Mining Implement data mining techniques through practical use cases and real-world datasets

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781787124462

Length 442 pages

Edition 1st Edition

Languages

Tools

ggplot

Concepts

Data Mining

Author (1):

Andrea Cirillo

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Table of Contents (16) Chapters

Preface

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

2. A First Primer on Data Mining Analysing Your Bank Account Data FREE CHAPTER

3. The Data Mining Process - CRISP-DM Methodology

4. Keeping the House Clean – The Data Mining Architecture

5. How to Address a Data Mining Problem – Data Cleaning and Validation

6. Looking into Your Data Eyes – Exploratory Data Analysis

7. Our First Guess – a Linear Regression

8. A Gentle Introduction to Model Performance Evaluation

9. Don't Give up – Power up Your Regression Including Multiple Variables

10. A Different Outlook to Problems with Classification Models

11. The Final Clash – Random Forests and Ensemble Learning

12. Looking for the Culprit – Text Data Mining with R

13. Sharing Your Stories with Your Stakeholders through R Markdown

14. Epilogue

15. Dealing with Dates, Relative Paths and Functions

On a quiet day

It's a nice day today, you get into your 6th-floor office at Hippalus, Wholesaler Inc, grab a coffee, and sit down at your desk. Suddenly, an email pops in your inbox: Urgent - profits drop. As soon as the meaning of those three words is clear to you, you realize that everybody in the office has received the same email and they are starting to chat about it, there will be a meeting with the head of the office in 15 minutes. When you get into the meeting room, still missing the coffee you left at your desk, a big chart is projected on the wall:

OK, you have just read Chapter 2, A First Primer on Data Mining - Analysing Your Banking Account Data so you know it is a line chart, and that we are looking at a time series, but no title is included so we can just observe the incredible drop at the end of the series. Whoa, those are our quarterly cash flows, says the astonished colleague sitting next to you.

How did we get that low?, replies back the one sitting on your other side. This...