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Apache Spark Machine Learning Blueprints

You're reading from   Apache Spark Machine Learning Blueprints Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785880391
Length 252 pages
Edition 1st Edition
Languages
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Author (1):
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Alex Liu Alex Liu
Author Profile Icon Alex Liu
Alex Liu
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Table of Contents (13) Chapters Close

Preface 1. Spark for Machine Learning FREE CHAPTER 2. Data Preparation for Spark ML 3. A Holistic View on Spark 4. Fraud Detection on Spark 5. Risk Scoring on Spark 6. Churn Prediction on Spark 7. Recommendations on Spark 8. Learning Analytics on Spark 9. City Analytics on Spark 10. Learning Telco Data on Spark 11. Modeling Open Data on Spark Index

Spark for fraud detection

In this section, we will start with a real business case of fraud detection to further illustrate our step-by-step machine learning process and then describe how to prepare Spark for this fraud detection project.

The use case

The ABC Corporation is a billion-dollar company that processes payments for thousands of clients in many industries, including real estate and vacation travel. Many kinds of frauds happened to this company and cost a lot. Most of the frauds happened online.

In order to prevent frauds from happening, the company collected a lot of data on its clients relating to payment processing transactions and also about past online activities for each client. Also, the company purchased a lot of data from third parties about the computer devices and bank accounts their clients use.

As for this project, our unit of analysis can be an individual company or person (ABC's client). Our unit of analysis can also be a payment transaction. In real practice,...

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