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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

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781785283451
Length 340 pages
Edition 1st Edition
Languages
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Authors (3):
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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
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Toc

Graph algorithms and applications

For this application section, in which we will discuss triangle counting, (strongly) connected components, PageRank and other algorithms available in GraphX, we will load another interesting graph dataset from http://networkrepository.com/. This time please download data from http://networkrepository.com/ca-hollywood-2009.php, which consists of an undirected graph whose vertices represent actors occurring in movies. Each line of the file contains two vertex IDs representing an edge, meaning that these actors appeared together in a movie.

The dataset consists of about 1.1 million vertices and has 56.3 million edges. Although the file size, even after unzipping, is not particularly large, a graph of this size is a real challenge for a graph processing engine. Since we assume you work with Spark's standalone mode locally, this graph will likely...

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