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Dynamic community detection has been of great significance on analyzing network structure and community evolution. Among state-of-the-art methods, incremental algorithms based on modularity have been used widely, for the fully utilization of both current and historical information. Unfortunately, they are difficult to uncover small community due to problem called “resolution limit” and also sensitive...
This paper presents a novel ant-based clustering algorithm. Different from conventional ant-based clustering algorithms in which the objects are picked up or dropped down by virtual ants, our propose algorithm looks each object as an ant. The objects are first projected to a plane randomly. Then an attractive force field is created. The object (ant) is attracted by the similar ones in its local surrounding...
Association rule mining is one of the most important and basic technique in data mining, which has been studied extensively and has a wide range of applications. Two stream of previous work has dealt with the discovery of association rules over multiple relations: prolog databases and datalog queries. The MRI Iceberg-cubes mining method introduces a new perspective. However, it does not take the cyclic...
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