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Types of Outliers
- Three kinds: global, contextual and collective outliers
- Global outlier (or point anomaly)
- Object is Og if it significantly deviates from the rest of the data set
- Ex. Intrusion detection in computer networks
- Issue: Find an appropriate measurement of deviation
- Contextual outlier (or conditional outlier)
- Object is Oc if it deviates significantly based on a selected context
- Ex. 80o F in Urbana: outlier? (depending on summer or winter?)
- Attributes of data objects should be divided into two groups
- Contextual attributes: defines the context, e.g., time & location
- Behavioral attributes: characteristics of the object, used in outlier evaluation, e.g., temperature
- Can be viewed as a generalization of local outliers—whose density significantly deviates from its local area
- Issue: How to define or formulate meaningful context?
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