A technical exploration of algorithms for detecting outliers in categorical data.
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A technical exploration of algorithms for detecting outliers in categorical data.
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Datasets are characterized by the properties of the majority of the data objects in it. There are a few data objects whose characteristics are not similar to the mainstream characteristics of the data objects in a dataset. These data objects may contain valuable information and are called outliers. Outlier detection is an important concept in data mining due to its application in a wide range of fields. Outlier detection refers to the problem of finding hidden observations with vital information w...
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