April 2012
Intermediate to advanced
384 pages
11h 19m
English
Content preview from Machine Learning in Action
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Chapter 12. Efficiently finding frequent itemsets with FP-growth
This chapter covers
- Finding common patterns in transaction data
- The FP-growth algorithm
- Finding co-occurring words in a Twitter feed
Have you ever gone to a search engine, typed in a word or part of a word, and the search engine automatically completed the search term for you? Perhaps it recommended something you didn’t even know existed, and you searched for that instead. That has happened to me, sometimes with comical results when I started a search with “why does....” To come up with those search terms, researchers at the search company used a version of the algorithm we’ll discuss in this chapter. They looked at words used on the internet and found ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.