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Mining fuzzy correlation rules is the task of finding correlation relationship between the two fuzzy itemsets in a transactional database. In many situations, however, fuzzy itemsets other than the two under consideration are also responsible for the observed correlation relationship, the effects of these fuzzy itemsets may influence the observed correlation relationship, and thus, the real correlation...
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and business management. One important issue is to discover frequent sequential patterns in a sequence database. And most of the previous works have focus on the order of times. However, the time interval between successive items in patterns is seldom discussed before. With the order...
The grid-based clustering algorithms are efficient with low computation time, but the size of the predefined grids and the threshold of the significant cells are seriously influenced their effects. The ADCC [1] and ACICA+ [2] are two new grid-based clustering algorithms. The ADCC algorithm uses axis-shifted strategy and cell clustering twice to reduce the influences of the size of the cells and inherits...
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