Building the Classifiers
Studies in big data(2023)
Abstract
Classification is a decision-making problem, in which we aim at the assignment of a correct class label to an observation. In the typical scenario, the set of available class labels is fixed beforehand and remains unchanged. Advanced data processing streams allow for a more flexible definition of this task. Typically, they admit the existence of a “novelty” class, to which some observations may be assigned.
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