Itemset

基本解释

The problem of fuzzy constraint in frequent itemset mining is studied.
摘要研究频繁项集挖掘中的模糊约束问题。
Setting this value to 0 specifies that there is no limit to the size of the itemset.
将该值设置为0将指定对项集的大小没有限制。
Grahne G,Zhu Jian-fei.Fast algorithms for frequent itemset mining using FP-Trees[J].IEEE Transactions on Knowledge and Data Engineering,2005,10:1347.
胥桂仙;高旭;于绍娜;关联规则算法在中文文本挖掘中的应用研究[J].;中央民族大学学报;2004;13(4):332-338
For example, if every itemset contains a specific state of an attribute, a rule that predicts state is trivial, even though the probability is very high.
例如,如果每个项集都包含属性的某个特定状态,那么,即使概率非常高,预测状态的规则也并不重要。
Setting this value to a whole number greater than 1 specifies the minimum number of cases as the absolute number of cases that must contain the itemset.
将该值设置为大于1的整数将指定最小事例数作为必须包含项集的事例的绝对数。