- Andon, Paul, Clinton Free, and Benjamin Scard, 2019, Pathways to accountant fraud: Australian evidence and analysis, Accounting Research Journal 28, vol. 1, pp. 10-44.
- Lookman, Sanni, and Selmin Nurcan, 2020, A Framework for Occupational Fraud Detection by Social Network Analysis, In CAISE 2015 FORUM.
- Sarno, Riyanarto, Rahadian Dustrial Dewandono, Tohari Ahmad, Mohammad Farid Naufal, and Fernandes Sinaga, 2019, Hybrid Association Rule Learning and Process Mining for Fraud Detection, IAENG International Journal of Computer Science 42, p. no. 2.
- Van Vlasselaer, Véronique, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, and Bart Baesens, 2019, Afraid: fraud detection via active inference in time-evolving social networks, In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis, pp. 659-666.
- Mugarura, N., 2020, Uncoupling the relationship between corruption and money laundering crimes.Journal of Financial Regulation and Compliance, 24(1).
- Nikoloska, s., Simonovski, I., 2019, Role of banks as entity in the system for prevention of money laundering in the Macedonia, Procedia - Social and Behavioral Sciences 44, 453 – 459.
- Armideh, Javad, Asghari Vasksi. Shideh, 2013, Application of Fuzzy Logic in Presenting a Fuzzy Expert System for Diagnosis of Different Mental Illnesses, The First Conference on New Approaches in Computer Engineering and Information Retrieval in Iran, October 6, (In Persian).
- Krishna Anand, R. Kalpana and S. Vijayalakshmi, 2019, Design and Implementation of a Fuzzy Expert System for Detecting and Estimating the Level of Asthma and Chronic Obstructive Pulmonary Disease, Middle-East Journal of Scientific Research 14 (11): 1435-1444, [ISSN 1990-9233 © IDOSI Publications].
- Rupinder Kaur, Amrit Kaur, 2019, Hypertension Diagnosis Using Fuzzy Expert System, International Journal of Engineering Research and Application (IJERA), ISSN: 2248-9622.
- Kantesh Kumar Oad, Xu DeZhi & Pinial Khan Butt , 2019, A Fuzzy Rule based Approach to Predict Risk Level of Heart Disease, Global Journal of Computer Science and Technology: C Software & Data Engineering, Volume 14 Issue 3 Version 1.0, Online ISSN: 0975-4172 & Print ISSN: 0975-4350
- Adams, J.; and Sargin, E., 2016, Deep neural networks for youtube recommendations, In Proceedings of the 10th ACM Conference on Recommender Systems, 191–198. ACM.
- Ojeme Blessing Onuwa et. All, 2019, Fuzzy Expert System for Malaria Diagnosis, An International Open Free Access, Peer Reviewed Research Journal, Published By: Oriental Scientific Publishing Co., India, Vol.7,No. (2):Pgs. 273-284 [ISSN: 0974-6471]
- Ziming Yin, Yinhong Zhao, Xudong Lu, and Huilong Duan, 2020, Screening of Alzheimer’s Disease Based on Multiple Neuropsychological Rating Scales, Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine, Volume, Article ID 258761, 13 pages.
- Site: http://farsithesis.ht3.ir/farsithesis/41484/html, 2018, (In Persian).
- Colladon, A. F., Remondi, E. 2020. Using Social Network Analysis to Prevent Money Laundering, Elsevier Science, DOI: 10.1016/j.eswa.2020.09.029.
- Chi DJ., Chu CC., Chen D. 2019, Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds. In: Huang DS., Huang ZK., Hussain A. (eds) Intelligent Computing Methodologies. ICIC 2019. Lecture Notes in Computer Science, vol 11645. Springer, Cham.
- Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi, 2019, Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling”, Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG).
- Hariri, N. Mobasher, B. and Burke, R., 2017, Context-aware music recommendation based on latenttopic sequential patterns, In Proceedings of the sixth ACM conference on Recommender systems, 131 –138. ACM.
- Kim, Yeonkook J., Baik, Bok. Cho, Sungzoon, 2020, Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning, Expert Systems with Applications, No. 62, pp. 32-43.
- Dashtbayaz, Mahmoud, 2019, Data search and discovery process for financial statement fraud, Research Journal of Finance and Accounting, Vol.6, No.3.
- Mohamed Yusof. K., Ahmad Khair A.H. & Jon Simon., 2015, Fraudulent Financial Reporting: An Application of Fraud Models to Malaysian Public Listed Companies, The Macrotheme Review. 4(3), (In Persian).
- Ravenda D., Valencia-Silva M. M., Argiles-Bosch J. M., García-Blandón J., 2018, Money laundering through the strategic management of accounting transactions, Critical Perspectives on Accounting.
- I O Eweoya, A Adebiyi, A Azeta, F Chidozie, F O Agono, B Guembe, 2019, A Naive Bayes approach to fraud prediction in loan default, Journal of Physics: Conference Series, Volume 1299, Number 1.
|
