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R Data Mining

You're reading from  R Data Mining

Product type Book
Published in Nov 2017
Publisher Packt
ISBN-13 9781787124462
Pages 442 pages
Edition 1st Edition
Languages
Concepts
Toc

Table of Contents (22) Chapters close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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 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 2A 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...

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