Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Machine Learning with Spark 2.x

You're reading from   Mastering Machine Learning with Spark 2.x Harness the potential of machine learning, through spark

Arrow left icon
Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781785283451
Length 340 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
Alex Tellez Alex Tellez
Author Profile Icon Alex Tellez
Alex Tellez
Michal Malohlava Michal Malohlava
Author Profile Icon Michal Malohlava
Michal Malohlava
Max Pumperla Max Pumperla
Author Profile Icon Max Pumperla
Max Pumperla
Arrow right icon
View More author details
Toc

Pattern mining with Spark MLlib

After having motivated and introduced three pattern mining problems along with the necessary notation to properly talk about them, we will next discuss how each of these problems can be solved with an algorithm available in Spark MLlib. As is often the case, actually applying the algorithms themselves is fairly simple due to Spark MLlib's convenient run method available for most algorithms. What is more challenging is to understand the algorithms and the intricacies that come with them. To this end, we will explain the three pattern mining algorithms one by one, and study how they are implemented and how to use them on toy examples. Only after having done all this will we apply these algorithms to a real-life data set of click events retrieved from http://MSNBC.com.

The documentation for the pattern mining algorithms in Spark can be found at...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image