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Big Data Analytics with Java

You're reading from Big Data Analytics with Java

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Pages 418 pages

Edition 1st Edition

Languages

Concepts

Author (1):

RAJAT MEHTA

Table of Contents (21) Chapters

Big Data Analytics with Java

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Big Data Analytics with Java

2. First Steps in Data Analysis

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

Customer segmentation

Customers for any store either offline or online (that is, e-commerce) all exhibit different behaviors in terms of buying patterns. Some might buy in bulk, while others might buy lesser quantities of stuff but the transactions might be spread out throughout the year. Some might buy big items during festival times like Christmas and so on. Figuring out the buying patterns of the customers and grouping or segmenting the customers based on their buying patterns is of the utmost importance for the business owners, simply because it lays out the customers' needs in front of them and their importance. They could selectively market to the more important customers, thereby giving prime care and importance to the customers that generate maximum revenue for the stores.

Figuring out the buying patterns of the customers from historical data (of their purchase transactions) is easy for an online store as all the transaction data is readily available. Some approaches that people use...

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Authors (1)

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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