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Practical Data Analysis Cookbook

You're reading from   Practical Data Analysis Cookbook Over 60 practical recipes on data exploration and analysis

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783551668
Length 384 pages
Edition 1st Edition
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Author (1):
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Tomasz Drabas Tomasz Drabas
Author Profile Icon Tomasz Drabas
Tomasz Drabas
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Toc

Table of Contents (13) Chapters Close

Preface 1. Preparing the Data 2. Exploring the Data FREE CHAPTER 3. Classification Techniques 4. Clustering Techniques 5. Reducing Dimensions 6. Regression Methods 7. Time Series Techniques 8. Graphs 9. Natural Language Processing 10. Discrete Choice Models 11. Simulations Index

Identifying people whose credit card details were stolen


Nowadays, being a victim of a fraud is not as remote a concept as people might think. While you can feel fairly secure online using double encryption and strong passwords, the old-school credit card information can be stolen relatively easily. With credit card frauds increasing at an alarming rate (http://www.economist.com/news/finance-and-economics/21596547-why-america-has-such-high-rate-payment-card-fraud-skimming-top), totaling to around $5.5 billion in 2012, it is not a laughing matter.

In this recipe, we will focus on a particular form of credit card fraud—buying from an online store. We are assuming that for some of those transactions (of a higher value), some retailers require the customers to call in and confirm their credit card details.

For the purpose of this recipe, we generated a dataset with 1,000 customers and 20 merchants. Over 50 days, our customers made over 225 K transactions for a total value of over $57 M. We also...

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