@inproceedings{d15812b3882b42f591856ea53e159e38,
title = "A model for identifying relationships of suspicious customers in money laundering using social network functions",
abstract = "The impact on the development of the national economy is mostly dependent on the flow of money in the country. The suspicious transactions of money within financial institutions affect the national economic system and compromise the impression of country{\textquoteright}s reputation. Identifying an individual suspicious transaction and individual suspicious customers within transactions are evident by using basic statistical rules. Other than such traditional rules, this paper proposes a model that discusses the identifications of association and relationships within transactions and customers using Social Networks Analysis (SNA). With the help of this model, groups and gang mafia can be identified who mainly play a vibrant role in money laundering activities.",
author = "Shaikh, {Abdul K.} and Amril Nazir",
note = "Publisher Copyright: {\textcopyright} 2018 Newswood Limited. All rights reserved.; 2018 World Congress on Engineering, WCE 2018 ; Conference date: 04-07-2018 Through 06-07-2018",
year = "2018",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
editor = "Len Gelman and Korsunsky, {A. M.} and Hukins, {David WL} and Andrew Hunter and Ao, {S. I.}",
booktitle = "Proceedings of the World Congress on Engineering 2018, WCE 2018",
}