Approximate Algorithms for Estimating Trends in Financial Intelligence Tasks.  Part II. Instants of Origination of Elements  of Financial Flow are Unknown

Farit F. Idrisov

doi:10.1615/JAutomatInfScien.v50.i2.30

Journal of Automation and Information Sciences

Editor chefe: Arkadiy A. Chikriy (open in a new tab)

Editor associados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

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Approximate Algorithms for Estimating Trends in Financial Intelligence Tasks. Part II. Instants of Origination of Elements of Financial Flow are Unknown

Volume 50, Edição 2, 2018, pp. 28-39

DOI: 10.1615/JAutomatInfScien.v50.i2.30

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Farit F. Idrisov
Tomsk State University of Control Systems and Radioelectronics, Tomsk

RESUMO

Approximate algorithms of estimation of trends in the problems of financial intelligence are considered. The case, when instants of origination of elements of financial flow are unknown, is considered. The estimates of statistical characteristics of the suggested algorithms are obtained.

Palavras-chave: approximate algorithms, estimation of trends, problems of financial intelligence, unknown instants of origination of elements of financial flow, statistical characteristics

CITADO POR

Zhang Jinwei, Innovation of Accounting Industry Based on Artificial Intelligence, in International Conference on Cognitive based Information Processing and Applications (CIPA 2021), 84, 2022. Crossref

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