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Longitudinal data consist of the repeated measurements of some variables which describe the dynamics of a domain(process or phenomenon) over time. They can be analyzed in order to explain what event may cause the transition from a state into the next one during the evolution of the domain. Generally, approaches to this explanation problem rely on the exclusive usage of domain knowledge, while an analysis...
Unlike the traditional incremental updating problem for discrete data, the appended data to spatial dataset may introduce lots of new relations between the added events and the existing events. Moreover, as the measure in mining of colocation patterns, participation index is complicated to handle compared with simply support counter. Thus, the incremental maintenance of colocation patterns for dynamic...
Relations of logical calculi of association rules to measures of interestingness of association rules are studied. Logical calculi of association rules, 4ft-quantifiers and important classes of association rules are briefly introduced. New 4ft-quantifiers and association rules are defined by applications of suitable thresholds to several known measures of interestingness. It is proved that some of...
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