Peer-reviewed articles 17,970 +



Title: THE ALGORITHM OF DOCUMENT ROUTING IN THE ELECTRONIC DOCUMENT MANAGEMENT SYSTEM USING MACHINE LEARNING METHODS

THE ALGORITHM OF DOCUMENT ROUTING IN THE ELECTRONIC DOCUMENT MANAGEMENT SYSTEM USING MACHINE LEARNING METHODS
M.N. Krasnyanskiy;A.D. Obukhov;A.A. Voyakina;V.I. Skvortsov;V.A. Khvorov
1314-2704
English
18
2.1
The increase of transferred information amounts brings the need to create new automated systems for data recognition, classification and routing. It is impossible to solve such problems without modern machine learning technologies and artificial intelligence technologies. An algorithm that takes into account the linguistic and syntactic properties of documents, the characteristics of the subject area is formulated on the basis of the system approach to the analysis and decomposition of the task of document routing in the electronic document management system of scientific and educational institutions. This let to extract, process, and recognize senders and recipients of documents using machine learning methods with greater efficiency and accuracy. On the basis of the received data the subsystem of automatic routing of documents in system of electronic document management is formed. The obtained scientific results are applicable to the development of automatic routing systems in electronic document management systems. The presented approaches to the recognition and processing of recipients and senders of documents and text analysis are used to solve the problems of routing documents in various subject areas.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
765-772
02-08 July, 2018
website
cdrom
591
Electronic document management system; information processing; document routing; machine learning

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