Crime and Fraud Detection Using Clustering Techniques-Reference-Cited by-同舟云学术

Crime and Fraud Detection Using Clustering Techniques

Published:2020 Issue: Volume: Page:135-143
ISSN:2367-3370
Container-title:Innovations in Computer Science and Engineering
language:
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Author:

Maddila Santhosh,Ramasubbareddy Somula,Govinda K.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2043-3_17

Reference9 articles.

1. Renuga D, Rabiyathul B, Kamaladevi M (2014) Fraud detection in card not present transactions based on behavioral pattern. J Theor Appl Info Technol 61(3)

2. Thakur V, Chaudhary R, Sharma RK (2012) Performance appraisal of economic offence wing of Chandigarh police: an analytical study. ACADEMICIA: Int Multidiscipl Res J 2(5):210–227

3. Yadav S, Jha S (2001) A framework for authorship identification of questioned documents: forensic and linguistic convergence. MJAL 3(1):1–7

4. Mundhe SV (2016) Critical analysis of white collar criminality highlighting judicial precedents in maharashtra

5. Dorminey J, Fleming AS, Kranacher MJ, Riley RA Jr (2012) The evolution of fraud theory. Issues Account Edu 27(2):555–579

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