In the previous blog I explained the theory behind and how a Convolutional Neural Network works for a classification task. Here I will go a step further and touch on techniques used for object…
G. Singh. (2012)Fraud Detection is of great importance to financial institutions. In this paper we have tried to study the Outlier Analysis in Stock Market Fraud Detection. Outlier Analysis is a fundamental issue in Data Mining, specifically in Fraud Detection. While observing the Indian Stock Market, we could detect that some of the Trading Entities have suspicious trading patterns that give rise to a doubt of having some malpractices in stock transactions within Indian Stock Market. All the facts are presented on the basis of data obtained from the official sites of BSE (Bombay Stock Exchange), NSE (National Stock Exchange) and SEBI (Securities and Exchange Board of India)..
A. Park, R. Quadari, and H. Tsang. 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), page 680-684. (October 2017)
C. Wang, A. Bochkovskiy, and H. Liao. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), page 13029-13038. (June 2021)