J. Tritscher, D. Schlör, F. Gwinner, A. Krause, und A. Hotho. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, 1753, Seite 79--96. Cham, Springer Nature Switzerland, (2023)
J. Chen, Y. Li, X. Wu, Y. Liang, und S. Jha. Machine Learning and Knowledge Discovery in Databases. Research Track, Seite 430--445. Cham, Springer International Publishing, (2021)
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)..