Research of algorithms of Data Mining

Vitalii Levkivskyi; Nadiia Lobanchykova; Dmytro Marchuk

doi:10.1051/e3sconf/202016605007

All issues

Volume 166 (2020)

E3S Web Conf., 166 (2020) 05007

References

Open Access

Issue		E3S Web Conf. Volume 166, 2020 The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020)


Article Number		05007
Number of page(s)		6
Section		Sustainable Computing
DOI		https://doi.org/10.1051/e3sconf/202016605007
Published online		22 April 2020

Stratehiia staloho rozvytku Ukrainy do 2030 roku. (Sustainable Development Strategy of Ukraine until 2030) (2020), https://www.undp.org/content/dam/ukraine/docs/SDGreports/UNDP_Strategy_v06-optimized.pdf. Accessed 15 Feb 2020 [Google Scholar]
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G.V. Marchuk, V.L. Levkivskyi, S.S. Kaliberda Intelektualniy analIz danih (Intelligent data analysis). Bionics of Intelligence 1(92), 65–70 (2019) [Google Scholar]

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[1] Stratehiia staloho rozvytku Ukrainy do 2030 roku. (Sustainable Development Strategy of Ukraine until 2030) (2020), https://www.undp.org/content/dam/ukraine/docs/SDGreports/UNDP_Strategy_v06-optimized.pdf. Accessed 15 Feb 2020 [Google Scholar]

[2] Green computing (2020) https://en.wikipedia.org/wiki/Green_computing. Accessed 15 Feb 2020. [Google Scholar]

[3] B.K. Lebedev, V.B. Lebedev, O.B. Lebedev, Reshenie zadachi simvolnoy regressii metodami geneticheskogo poiska (The solution of the symbolic regression problem by genetic search methods). Izvestiya SFedU. Engineering Sciences, 212–224 (2015) [Google Scholar]

[4] S.E. Volojanin, Opredelenie korrelyatsii mezhdu uprazhneniyami pauerliftinga i obschey fizicheskoy podgotovkoy (Determining of correlation between powerlifting exercises and general fitness). Vestnik Buriatskogo gosudarstvennogo universiteta 13, 39–43 (2011) [Google Scholar]

[5] L.A. Pesotskaya, I.V. Yevstigneyev, T.V. Rublevskaya, A.A. Lukyanenko, V.S. Smirnov, Patogeneticheskie korrelyatsii laboratornyih pokazateley u bolnyih zhelezodefitsitnoy anemiey (Pathogenetic correlation of laboratory findings in patients with iron deficiency anemia). Actual Problems of the Modern Medicine: Bulletin of Ukrainian Medical Stomatological Academy 16(4(56)), 171–175 (2016) [Google Scholar]

[6] I.A. Osetrov, I.N. Nepryaev, Sravnitelnyie pokazateli korrelyatsii v sporte (Comparative correlation indicators in sports). Iaroslavskii pedagogicheskii vestnik 4–2009 (61), 60–64 (2009) [Google Scholar]

[7] S.O. Lisitsyn, O.A. Baida, Raspoznavanie dorozhnyih znakov s pomoschyu metoda opornyih vektorov i gistogramm orientirovannyih gradientov (Recognition of road signs using the support vector method and oriented gradient histograms). Computer optics 36(2), 289–295 (2012) [Google Scholar]

[8] M.M. Andreeva, V.R. Volkov. Korrelyatsionnyiy analiz v sotsiologicheskih issledovaniyah (Correlation analysis in sociological). Herald of Kazan Technological University 7, 271–274 (2013) [Google Scholar]

[9] 500 Cities: City Boundaries (2019), https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j. Accessed 10 Feb 2020 [Google Scholar]

[10] Polynomial Regression (2018), https://towardsdatascience.com/polynomial-regression-bbe8b9d97491. Accessed 10 Feb 2020. [Google Scholar]

[11] O.I. Sheremet, O.V. Sadovoi, Metod opornyih vektorovю (Support-vector machine (SVM)). Mathematical modeling 1(28), 13–17 (2013) [Google Scholar]

[12] G.V. Marchuk, V.L. Levkivskyi, S.S. Kaliberda Intelektualniy analIz danih (Intelligent data analysis). Bionics of Intelligence 1(92), 65–70 (2019) [Google Scholar]