June 2011
Beginner to intermediate
744 pages
25h 11m
English
Content preview from Data Mining: Concepts and Techniques, 3rd Edition
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12.1 Outliers and Outlier Analysis
Let us first define what outliers are, categorize the different types of outliers, and then discuss the challenges in outlier detection at a general level.
12.1.1 What Are Outliers?
Assume that a given statistical process is used to generate a set of data objects. An outlier is a data object that deviates significantly from the rest of the objects, as if it were generated by a different mechanism. For ease of presentation within this chapter, we may refer to data objects that are not outliers as “normal” or expected data. Similarly, we may refer to outliers as “abnormal” data.
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