This section will cover the most important data mining techniques in detail. The first three techniques are examples of supervised learning, consisting of classification techniques.
Chapter 5 will cover decision trees, which are the most popular form of data mining techniques. There are many algorithms to develop decision trees.
Chapter 6 will describe regression modeling techniques. These are statistical techniques.
Chapter 7 will cover artificial neural networks.
The next two techniques are examples of unsupervised learning, consisting of data exploration techniques.
Chapter 8 will cover cluster analysis. This is also called market segmentation analysis.
Chapter 9 will cover the association rule mining technique, also called market ...
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