Top 10 data mining algorithms in plain English
Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you can find them, my hope is you’ll have this blog post as a springboard to learn even more about data mining. What are we waiting for? Let’s get started! Update 16-May-2015: Thanks to Yuval Merhav and Oliver Keyes for their suggestions which I’ve incorporated into the post. Update 28-May-2015: Thanks to Dan Steinberg (yes, the CART expert!) What does it do? Wait, what’s a classifier? What’s an example of this? Now: Given these attributes, we want to predict whether the patient will get cancer. And here’s the deal: Using a set of patient attributes and the patient’s corresponding class, C4.5 constructs a decision tree that can predict the class for new patients based on their attributes. Cool, so what’s a decision tree? The bottomline is: Is this supervised or unsupervised? 3.
• Data Mining