Discovery of frequent subgroup using data mining
نویسنده
چکیده
Social network analysis is emerging technology that focuses on pattern of interaction/relation among people, organization. Frequent subgroup detection is subpart of social network that reveals the hidden knowledge and reflect the behavior of entire social network. These subgroups are collection of nodes that share common characteristics and densely connected with each other. In this paper, an unexampled approach is acknowledged to discover frequent subgroup inspired from a well known algorithm in the domain of association rule mining recognized as Continuous association rule mining algorithm.
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تاریخ انتشار 2013