This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.

Rest on retaining the advantage of the red algorithm and introducing time relevance determination factor, this algorithm is effective to discard time-related data and reduce redundant information.

The algorithm adding new handling rule into exception handing base and filtering old rule to discard in rule base was designed.