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Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition by Mark A. Hall, Eibe Frank, Ian H. Witten

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CHAPTER 3

Output: Knowledge Representation

Most of the techniques in this book produce easily comprehensible descriptions of the structural patterns in the data. Before looking at how these techniques work, we have to see how structural patterns can be expressed. There are many different ways for representing the patterns that can be discovered by machine learning, and each one dictates the kind of technique that can be used to infer that output structure from data. Once you understand how the output is represented, you have come a long way toward understanding how it can be generated.

We saw many examples of data mining in Chapter 1. In these cases the output took the form of decision trees and classification rules, which are basic knowledge ...

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