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Big Data Analytics with Java

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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

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 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

Clustering

A customer using an online e-commerce store to buy a phone would generally type those words in the search box at the top of the site. As soon as you type your search query, the search results are displayed at the bottom, and on the left-hand side of the page you get a list of categories that you might be interested in based on the search text you just entered. The sub-search categories are shown in the following screenshot. How did the search engine figure out these sub-search categories just based on the searched text? Well, this is what clustering is used for. It's a no-brainer that the site's search engine is advanced and must be using some form of clustering technique to group the search results so as to form useful sub-search categories:

As seen in the preceding screenshot, the left-hand side shows the categories (groups) that are generated once the user searches for a term such as car. The left-hand side looks quite relevant as we are seeing sub-categories for car accessories...

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Authors (1)

RAJAT MEHTA

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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