Chapter 1
An Introduction to Data Classification
Charu C. Aggarwal
IBM T. J. Watson Research CenterYorktown Heights, NY charu@us.ibm.com
1.1 Introduction
The problem of data classification has numerous applications in a wide variety of mining applications. This is because the problem attempts to learn the relationship between a set of feature variables and a target variable of interest. Since many practical problems can be expressed as associations between feature and target variables, this provides a broad range of applicability of this model. The problem of classification may be stated as follows:
Given a set of training data points along with associated training labels, determine the class label for an unlabeled test instance.
Numerous variations ...
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