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Web service financial monitoring of open data

Student: Sharafutdinov Artur

Supervisor: Kirill Lychagin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Year of Graduation: 2017

Theme: "Web service financial monitoring of open data". The volume of the final qualifying work is 51 pages, it contains 20 figures, 5 tables, 21 code listings, 22 sources of literature. Keywords: financial monitoring, questionable operations, clean errors and omissions, machine learning. Artificial intelligence, web service. The subject of the study are artificial intelligence technologies for financial intelligence and industrial JAVA WEB development. The subject of the study is the development of a web service for financial monitoring of open data. Graduation qualification work consists of an introduction, three chapters, and conclusion. In the introduction, the urgency of the chosen topic is substantiated, the goal and tasks of the research are formulated, the object and subject of the research are indicated. The first chapter is devoted to the study of theoretical issues, it deals with machine learning financial intelligence and web services open data. In the second chapter, a web service for financial monitoring of open data was developed. In the third chapter, a software implementation The conclusion contains the main conclusions and results of the development.

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