Stream data classification is a challenging problem because of two important properties: its infinite length and evolving nature. Traditional learning algorithms that require several passes on the training data are not directly applicable to stream classification problem because of the infinite length of the data stream. Data streams may evolve in several ways: the prior probability distribution p(c) of a
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