Desktop Survival Guide
by Graham Williams

Types of Analysis

Much of the terminology used in data mining has grown out of that used in both machine learning and statistics. We identify, for example, two very broad categories of analysis as unsupervised and supervised (as in supervised and unsupervised learning).

We can identify distinct paradigms within which we perform our data mining. The most common and useful is the Two Class paradigm. Here, we cast our task as looking to build a model which can classify entites into one of two classes.

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