title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð·Ð½Ð°Ð½Ð¸Ð¹ Ð¿ÑÐ¸ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ð¸ Ð¸ ÑÐ°ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð´ÐµÐ» Ð¾ Ð»ÐµÐ³Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ (Ð¾ÑÐ¼ÑÐ²Ð°Ð½Ð¸Ð¸) Ð´ÐµÐ½ÐµÐ¶Ð½ÑÑ ÑÑÐµÐ´ÑÑÐ² Ð¸Ð»Ð¸ Ð¸Ð½Ð¾Ð³Ð¾ Ð¸Ð¼ÑÑÐµÑÑÐ²Ð°, Ð¿ÑÐ¸Ð¾Ð±ÑÐµÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐµÑÑÑÐ¿Ð½ÑÐ¼ Ð¿ÑÑÐµÐ¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: The use of special economic knowledge in the identification and investigation of cases of legalization (laundering) of funds or other property acquired by criminal means
Creators: name: ÐÐ¾ÑÐ¾Ð½Ð¸Ð½Ð°, ÐÐ¾Ð»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð»ÐµÐ³Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿ÑÐµÑÑÑÐ¿Ð½ÑÑ Ð´Ð¾Ñ Ð¾Ð´Ð¾Ð²
ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ðµ Ð·Ð½Ð°Ð½Ð¸Ñ
ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ðµ ÑÐ°ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ
money laundering
special economic knowledge
financial investigation

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description: The subject of the graduate qualification work is âThe use of special economic knowledge in the identification and investigation of cases of legalization (laundering) of funds or other property acquired by criminal meansâ. The given work is devoted to analyzee and formulate recommendations to improve the effectiveness of detection of cases on the money laundering obtained by criminal means. The research set the following goals: - identify the problems of countering the legalization of criminal proceeds; - identify the features of conducting research on cases related to the legalization of proceeds from crime; - evaluate the economic efficiency of Rosfinmonitoring in conducting financial investigations; - formulate recommendations for improving the use of special economic knowledge in conducting financial investigations. The relevance of the study is determined by the complexity of proving criminal cases on the legalization of criminal proceeds and bringing perpetrators to justice due to the lack of specialized economic knowledge in the analyzed field. A software project is proposed to identify hidden connections and patterns based on artificial intelligence and machine learning, the results of the development of which can be applied by the Federal Financial Monitoring Service. Data analysis was carried out using the MS Office.