In the scenario of data stream classification, the occurrence of recurring concept drift and the scarcity of labeled data are very common, which make the semi-supervised classification of data streams quite challenging. To deal with these issues, a new classification algorithm for partially labeled streaming data with recurring concept drift is proposed. CAPLRD maintains a pool of concept-specific classifiers and utilizes historical classifiers to label unlabeled data, in which the unlabeled data are labeled by a weighted-majority vote strategy...
