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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

Selecting and cleansing the dataset

We have selected the transaction history from a customer account as our dataset, which we will use to build the model for fraud detection. A large bank can have millions of customers. The historical transaction data of these customers can be used to build models that are unique for each customer, based upon his spending patterns.

We will start with the last 3 years of transaction history. Let's take a look at a single transaction to understand the information captured in it:

Datum;Naam / Omschrijving;Rekening;Tegenrekening;Code;AfBij;Bedrag (EUR);MutatieSoort;Mededelingen 
 
20151022;ZIGGO SERVICES BV;NL54INGB07XXX32XXX;NL98INGB0000845745;IC;Af;52,5;Incasso;Europese Incasso, doorlopend IBAN: NL98INGB0000845745 BIC: INGBNL2A Naam: ZIGGO SERVICES BV ID begunstigde: NL30ZZZ333034790000 SEPA ID machtiging: 000788255400101112009000000941 Kenmerk: 030176416129000 Omschrijving: 270934155 

The preceding listing contains information about a single...

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