Quantitative Rule Lattice and Its Incremental Construction
LI Yun1, LIU ZongTian2, CHEN Ling1, CAI JunJie1
1.Institute of Information Engineering, Yangzhou University, Yangzhou 225009 2.School of Computer Engineering and Science, Shanghai University, Shanghai 200072
Abstract：The key for extracting the minimal nonredundant rule is to obtain the least itemsets in the Set of Frequent Itemsets with the Same Tidset(SFIST) which corresponds to the frequent closed itemset. To extract such rules using the concept lattice conveniently, the Quantitative Rule Lattice(QRL) with new data structure is presented, the way obtaining the set of the least itemsets in the SFIST of the node in QRL is discussed and the relevant algorithm is provided. Due to incremental formation of QRL and the set of the least itemsets, the QRL is very suitable for both extracting the minimal nonredundant rules from the dynamic database and realizing the rule updated incrementally.
李云，刘宗田，陈崚，蔡俊杰. 量化规则格及其渐进式构造*[J]. 模式识别与人工智能, 2006, 19(3): 375-381.
LI Yun, LIU ZongTian, CHEN Ling, CAI JunJie. Quantitative Rule Lattice and Its Incremental Construction. , 2006, 19(3): 375-381.
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