Lebedev V.S Inductive inference in big data analysis // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2022. No. 4(16). P. 16-21. DOI: 10.26731/2658-3704.2022.4(16).16-21 [Accessed 17/12/22].
10.26731/2658-3704.2022.4(16).16-21
The article is devoted to big data analysis and one of its directions is data mining. Some methods of data mining are reviewed and emphasis is placed on the method of inductive inference.
The article describes the actively developing technology of big data analysis, describes the characteristics used to describe big data. The intellectual analysis of data and several of its methods used in BigData technologies are presented. Inductive inference is described as a method of obtaining new knowledge, its types and their differences and features.
1. Veretennikov, A. V. BigData: analiz bol'shikh dannykh segodnya [Big Data: Big Data analysis today]. Molodoy uchenyy [Young scientist], 2017, No 32 (166), pp 9-12.
2. Ait-Mlouk, A., Agouti, T. & Gharnati, F. Intellektual'nyy analiz i prioritizatsiya assotsiativnykh pravil dlya bol'shikh dannykh: mnogokriterial'nyy podkhod k analizu resheniy [Mining and prioritization of association rules for big data: multi-criteria decision analysis approach]. J Big Data 4, 42 (2017).
3. Pevchenko, S. S. Metody intellektual'nogo analiza dannykh [Data Mining Methods]. М Molodoy uchenyy [Young scientist], 2015, No 13 (93), pp 167-169.
4. Sovetskiy entsiklopedicheskiy slovar', Moskva, izdatel'stvo «Sovetskaya entsiklo-pediya» [Soviet Encyclopedic Dictionary, Moscow, publishing house "Soviet Encyclopedia"], 1981
5. Rahmatyllin, R. Yu. Istina kak filosofskaya kategoriya [Truth as a philosophical category]. Molodoy uchenyy [Young scientist], 2014, No 13 (72), pp 332-335.