Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 9 1 2017 03 01 An Intelligent System for Fraud Detection in Coin Futures Market’s Transactions of Iran Mercantile Exchange Based on Bayesian Network طراحی نوعی سیستم هوشمند برای کشف تقلب حاصل از حرکت القایی در معاملات بازار قراردادهای آتی سکۀ بورس کالای ایران مبتنی بر شبکۀ بیزی 1 20 60680 10.22059/jitm.2017.60680 EN Amir-Reza Abtahi Assistant Prof., Dep. of IT., Faculty of Management, Kharazmi University, Tehran, Iran Fatemeh Elahi MSc. Student in Decision Sciences and Knowledge Engineering, Faculty of Management Kharazmi University, Tehran, Iran Reza Yousefi-Zenouz Assistant Prof., Dep. of IT., Faculty of Management, Kharazmi University, Tehran, Iran Journal Article 2016 06 15 In order to gain more illicit profit, some traders in the stock market try to make a targeted impact on prices by placing fake orders and false advertising. Due to the high customer population, it is not possible to discover these frauds using traditional methods. The present study seeks to provide a system for preventing the frauds in future market-trading coins based on Bayesian classifier model for Iran Mercantile Exchange. The proposed model has polynomial time complexity and high accuracy because of considering important dependencies among different features of data. The primary labeling of data has been done by Kmeans clustering. The test of model shows 94.55 percent similarity between model's output and labeled data. Using this system can helps to identify the fraudulent from non-fraudulent traders. https://jitm.ut.ac.ir/article_60680_26aa06de30a6257fb58215616a88d6ba.pdf