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- W2113708648 abstract "Now a days, homeland security is the most concerned issue for every country. But identification of abnormal entities in large dataset is an important problem in case of homeland security. Though there exist methods of data mining and social network analysis which focus on finding pattern or central nodes from networks or numerical datasets. But none of them make use of semantic information associated with the network. In this paper we describe an unsupervised framework to identify abnormal instances." @default.
- W2113708648 created "2016-06-24" @default.
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- W2113708648 date "2011-06-01" @default.
- W2113708648 modified "2023-09-25" @default.
- W2113708648 title "Unsupervised Abnormal Nodes Detection in Semantic Graphs" @default.
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- W2113708648 doi "https://doi.org/10.1109/csnt.2011.138" @default.
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