September 2014
Beginner to intermediate
408 pages
8h 53m
English
Content preview from Data Mining For Dummies
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Chapter 4
Learning the Laws of Data Mining
In This Chapter
Getting a grip on the principles of data mining
Making data your informant
Coming to terms with imperfection
Musicians have notes, scales, and music theory. Drivers have the rules of the road. Physicists have Newton’s laws of motion. Every profession has its guiding principles, ideas that provide structure and guidance in everyday work. Data mining is no exception.
In this chapter, you find out about nine fundamental ideas to guide you as you get down to work and become a data miner. These are the 9 Laws of Data Mining as they were originally stated by the pioneering data miner, Thomas Khabaza. This chapter shows you what each of these laws means to your everyday work.
1st Law: Business Goals
Here’s the 1st Law of Data Mining, or “Business Goals Law”: Business objectives are the origin of every data-mining solution.
We explore data to find information that helps us run the business better. Shouldn’t this be the mantra of all business data analysis? Of course it should! Yet novice data miners often focus on technology and others details which may be interesting, but not aligned with the needs and goals of executive decision-makers. ...
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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.