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STUDY MINING TECHNIQUES TO FORM A SHORT-TERM FORECAST IN THE SOFTWARE STATISTICA
Nikolaev Sergey Valerievich1, Pronina Olga Yurievna2, Bazhenov Ruslan Ivanovich3
1Sholom-Aleichem Priamursky State University, student
2Sholom-Aleichem Priamursky State University, student
3Sholom-Aleichem Priamursky State University, candidate of pedagogical sciences, associate professor, Head of the Department of Computer Science
1Sholom-Aleichem Priamursky State University, student
2Sholom-Aleichem Priamursky State University, student
3Sholom-Aleichem Priamursky State University, candidate of pedagogical sciences, associate professor, Head of the Department of Computer Science
Abstract
The purpose of this article with a few types of mining statistics software package to generate short-term forecast of sales of the company "NORD", show the application of methods and compare their results.
Keywords: intelligent analysis of data, neural networks, short-term forecast, Statistica, the model ARIMA, time series
Article reference:
Study mining techniques to form a short-term forecast in the software Statistica // Economics and innovations management. 2015. № 7 [Electronic journal]. URL: https://ekonomika.snauka.ru/en/2015/07/9500
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