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Big Data Analytics with Java

You're reading from   Big Data Analytics with Java Data analysis, visualization & machine learning techniques

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Length 418 pages
Edition 1st Edition
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Concepts
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Author (1):
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RAJAT MEHTA RAJAT MEHTA
Author Profile Icon RAJAT MEHTA
RAJAT MEHTA
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Table of Contents (15) Chapters Close

Preface 1. Big Data Analytics with Java 2. First Steps in Data Analysis FREE CHAPTER 3. Data Visualization 4. Basics of Machine Learning 5. Regression on Big Data 6. Naive Bayes and Sentiment Analysis 7. Decision Trees 8. Ensembling on Big Data 9. Recommendation Systems 10. Clustering and Customer Segmentation on Big Data 11. Massive Graphs on Big Data 12. Real-Time Analytics on Big Data 13. Deep Learning Using Big Data Index

Dataset


For our case study on customer segmentation using clustering, we will be using a dataset from UCI repository of datasets for a UK online retail store. This retail store has shared its data with UCI and the dataset is freely available on their website. This data is essentially the transactions of different customers made on the online retail store. The transactions were made from different countries and the dataset size is good (thousands of rows). Let's go through the attributes of the dataset:

Attribute name

Description

Invoice number

Invoice number; a number uniquely assigned to each transaction

Stock code

Product (item) code; a 5-digit integral number uniquely assigned to each distinct product

Description

Product item name

Quantity

Quantity of items purchased in a single transaction

Invoice date

Date of the transaction

Unit price

Price of the item (in pounds)

Customer ID

Unique ID of the person making the transaction

Country

Country from where...

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