Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection

Author:

Ivanov Vladimir K.,Palyukh Boris V.,Sotnikov Alexander N.

Publisher

Springer International Publishing

Reference11 articles.

1. Ivanov, V.K.: Computational model to quantify object innovativeness. In: CEUR Workshop Proceedings, vol. 2258, pp. 249-258 (2019). http://ceur-ws.org/Vol-2258/paper31.pdf

2. Palyukh, B.V., Vinogradov, G.P., Egereva, I.A.: Managing the evolution of a chemical engineering system. Theor. Found. Chem. Eng. 48(3), 325–331 (2014)

3. Palyukh, B.V., Vetrov, A.N., Egereva, I.A.: Architecture of an intelligent optimal control system for multi-stage processes evolution in a fuzzy dynamic environment. Softw. Syst. 4, 619–624 (2017)

4. Microsoft Application Architecture Guide, p. 529, 2nd edn., October 2009. www.microsoft.com/architectureguide )

5. Tucker, R.B.: Driving Growth Through Innovation: How Leading Firms Are Transforming Their Futures, 2nd edn. Berrett-Koehler Publishers, San Francisco (2008)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Additive Criterion to Evaluate Object Innovation;Lobachevskii Journal of Mathematics;2021-11

2. Additive Criteria to Evaluate Relevance of Innovative Objects in Data Warehouse;Lobachevskii Journal of Mathematics;2020-12

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