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When clustering the tuples in the target table which is in a relational database, the prior task is to exactly and effectively calculate the relational distance between tuples. A lot of methods are used today, such as the relational distance measuring based on RIBL2. However, all these methods fail to consider the differences of similarity between the objects in both non-target table and target table,...
Nowadays, the emergence of online services provides various multi-relation information to support the comprehensive understanding of the epidemic spreading process. In this Letter, we consider the edge weights to represent such multi-role relations. In addition, we perform detailed analysis of two representative metrics, outbreak threshold and epidemic prevalence, on SIS and SIR models. Both theoretical...
When clustering the tuples in the target table which is in a relational database, the prior task is to exactly and effectively calculate the relational distance between tuples. A lot of methods are used today, such as the relational distance measuring based on RIBL2. However, all these methods fail to consider the differences of similarity between the objects in both non-target table and target table,...
Rapid development of social network theory provides new perspective for the study of covert organizational behavior and becomes new research hot topic in the international academic circle. Conventional covert organization network research mainly involves interpersonal relationships among members and there are some limitations. Problems that need to be solved at present include introducing more elements...
It presents an approach based on ER models to solve statistical skew and low efficiency problems in multi-relational data mining. It makes use of the constraints between entity sets and relationship sets of an ER model, and applies extended SQL statistical primitives to produce multi-relational frequent patterns on the interesting attributes, avoiding physical joining among all relational tables....
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