Investigating Suspicious Transactions through High Value Networks in Financial Intelligence Services

Abstract — The given paper aims to identify the high value networks containing suspicious transactions in financial intelligence sector.This primarily focuses on the identification of network which contains the highest no of suspicious transactions than other neighbouring networks. Data Mining approach is used to identify those clusters of transactions which are more suspicious than other clusters. And also differentiating the behaviour of cluster which are highly suspicious than those less suspicious