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Parminder Singh
Chandrashekhar Azad
Ashok Kumar Mehta


Data on a networkcomprises of interrelated units. As an illustration, web pages on the World Wide Web are connected by hyperlinks and research papers are associated by references also phone accounts are linked by calls, and conceivable terrorists are linked by communications. Networks have turned out to be pervasive. Correspondence networks, financial transaction networks, networks portraying physical systems, and social networks are all ending up noticeably progressively important in our everyday life. Regularly, we are interested in models of how nodes in the system influence each other (for example, who taints whom in an epidemiological system), models for predicting an attribute of intrigue in light of observed attributes of objects in the system. The technique of SVM is applied which will classify the data into malicious and non-malicious.



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