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Although several efficient learning methods have recently been proposed to handle class drift situations, issues remain in various streaming data applications that possibly deteriorate classification accuracy. Three important issues were considered, that is: 1) lifetime and class changes; 2) high imbalance ratios of streaming data among classes; and 3) classification accuracy of untrained data and...
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