September 2001
Intermediate to advanced
182 pages
4h 16m
English
Content preview from Mining Your Own Business in Telecoms Using DB2 Intelligent Miner for Data
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Chapter 5. Can you predict the customers who are likely to leave? 75
It is important to keep in mind that the successful churn prediction model is the
one that fits properly into the customer retention process of the company. Churn
prediction modeling is not only generating the churn score, but is also a
description of churners that will be used in developing business strategies.
We discuss in detail how data mining can let you predict the customers who are
probably going to leave using the variables available in your company. The basic
assumption behind this is that some customers who left the company have a
distinct and detectable past behaviors or characteristics. Therefore, you can
detect those behaviors some time before they leave
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.