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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Table of Contents (9) Chapters Close

Preface 1. Hadoop and Big Data 2. A 360-Degree View of the Customer FREE CHAPTER 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

Understanding the business problem

We will build a fraud detection system for a bank using Hadoop and Spark. The fraud detection system will predict whether a payment transaction is a suspect transaction. If such a suspicious transaction is detected, then the payment processing system can step up security and ask for more information from the account holder before the transaction can be processed. In our definition of a transaction, we will the cover payments made by a retail banking customer from his checking account to other parties. These payments can take place using a variety of modes, as follows:

  • Using Internet banking to transfer money to another account
  • Via swiping a card at a shop to pay for goods or services
  • Payment for goods on an e-commerce site
  • Direct debits for bill payment
  • Cash withdrawal using an ATM card

Every mode of payment offers fraudsters the opportunity to indulge in fraudulent activities. These activities can take place by stealing the IDs, bank cards, and PINs to conduct...

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