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Bipolar rating scales: A survey and novel correlation measures based on nonlinear bipolar scoring functions
Batyrshin I., Monroy-Tenorio F., Gelbukh A., Villa-Vargas L., Solovyev V., Kubysheva N.
correlation measures can be used in recommender systems, sentiment analysis and opinion mining for analysis
Аналитика и корреляционный анализ в определении информативных параметров мощных полупроводниковых приборов
Казючиц, В. О., Шнейдеров, Е. Н., Боровиков, С. М., Kaziuchyts, V. O., Shneiderov, E. N., Borovikov, S. M.
presumably may turn out to be informative. The performed analytics and correlation analysis of the parameters
The cervical blood flow parameters with the best correlation fromarterial blood pressure in hypertension cases
Vetcher A.A., Zhukov K.V., Gasparuan B.A., Shishonin A.Y.
confirmation of the existence of a correlation by correlational analysis, the least square method was applied
Potential of Digital Transformation: Ranking of Russian Regions; [Потенциал цифровой трансформации: рейтинг регионов РФ]
Verenikin A.O., Verenikina A.Y.
Method of Principal Component Analysis, supplemented by Data Envelopment Analysis (PCA-DEA). Two data
Analysis of Regional Imbalances in Italy Based on Cluster Analysis
Mazzei M., Bik O.V., Palma A.L., De Maria M.
data matrix, made up of 26 rows, one for each of the territorial units, and of 36 columns, the number
Analysis of Regional Imbalances in Italy Based on Cluster Analysis
De Maria M., Bik O.V., Mazzei M., Palma A.L.
data matrix, made up of 26 rows, one for each of the territorial units, and of 36 columns, the number
Statistical Analysis of Inflation in Contemporary Russia
Baylo N.V., Matyushenko S.I., Pyatkina D.A.
of the population, is investigated, on the basis of statistical data. The study is carried out using
Statistical analysis of the currency rate
Soloveva A.V.
account balance, is investigated based on statistical data for the period from 1999 to 2019. GDP value
Statistical analysis of the construction industry
Prokhorovich E.A.
of economic indicators on the basis of statistical data from 2014 to 2020. Among the main factors influencing
Adaptive genetic algorithms used to analyze behavior of complex system
Mokshin A., Mokshin V., Sharnin L.
the data characterizing a manufacturing company and the meteorological data.

Страница 9 из 23105

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