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Mastering Data Mining with Python - Find patterns hidden in your data

You're reading from  Mastering Data Mining with Python - Find patterns hidden in your data

Product type Book
Published in Aug 2016
Publisher
ISBN-13 9781785889950
Pages 268 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Megan Squire Megan Squire
Profile icon Megan Squire

A project – discovering association rules in software project tags


In 1997, the website, Freshmeat, was created as a directory that tracked free, libre, and open source software (FLOSS) projects. In 2011, the site was renamed Freecode. After sales and acquisitions and several site redesigns, in 2014 all updates to the Freecode site were discontinued. The site remains online, but it is no longer being updated and no new projects are being added to the directory. Freecode now serves as a snapshot of facts about FLOSS projects during the late 1990s and 2000s. These facts about each software project include its name, its description, the URL to download the software, tags that describe its features, a numeric representation of its popularity, and so on.

As part of my FLOSSmole project, I have catalogued data from Freshmeat/Freecode since 2005. Freshmeat/Freecode provided periodic RDF downloads describing each project on the site. I downloaded these, parsed out the project data, organized it into...

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