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This paper introduces an incremental closed frequent item sets mining algorithm, which is based on a shadow prefix tree to get closed frequent item sets. By the use of shadow technology this algorithm can avoid the cost of generating and testing of candidate subsets. Shadow prefix tree can find nodes by virtual node without generating all nodes. The experiment results show that this algorithm can...
POSC4.5 is a one-class decision tree classifier with good classification accuracy which learns from both positive and unlabeled examples. In order to further improve the classification accuracy and robustness of POSC4.5, in this paper, we ensemble POSC4.5 trees by bagging, and classify testing samples by majority voting. The experiment results on 5 UCI datasets show that the classification accuracy...
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