Journal of Automation and Information Sciences
Erscheint 12 Ausgaben pro Jahr
ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Approximate Algorithms for Estimating Trends in Financial Intelligence Tasks. Part II. Instants of Origination of Elements of Financial Flow are Unknown
Volumen 50,
Ausgabe 2, 2018,
pp. 28-39
DOI: 10.1615/JAutomatInfScien.v50.i2.30
ABSTRAKT
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.
SCHLÜSSELWÖRTER: approximate algorithms, estimation of trends, problems of financial intelligence, unknown instants of origination of elements of financial flow, statistical characteristics
REFERENZIERT VON
-
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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