November 2014
Beginner to intermediate
446 pages
12h 16m
English
Content preview from Predictive Analytics and Data MiningBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1
Introduction
Abstract
Predictive analytics and data mining have been growing in popularity in recent years. In the introduction we define the terms “data mining” and “predictive analytics” and their taxonomy. This chapter covers the motivation for and need of data mining, introduces key algorithms, and presents a roadmap for rest of the book.
Keywords
Data mining; predictive analytics; descriptive analytics; taxonomy; classification; regression; association; clustering; anomaly; RapidMiner; roadmapPredictive analytics is an area that has been growing in popularity in recent years. However, data mining, of which predictive analytics is a subset, has already reached a steady state in its popularity. In spite of this recent growth and popularity, ...
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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.