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Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454

DOI: https://doi.org/10.17759/mda

License: CC BY-NC 4.0

Started in 2011

Published 4 times a year

Free of fees
Open Access Journal

 

The Tasks of Analysis and Forecasting the Activities of IT Companies Using Machine Learning Methods 95

Aleksejchuk A.S.
PhD in Physics and Matematics, Senior Lecturer, Moscow Aviation Institute (National Research University), Moscow, Russia
e-mail: alexejchuk@gmail.com

Vinogradov V.I.
PhD in Physics and Matematics, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia
e-mail: vvinogradov@inbox.ru

Danyakin K.D.
Student, Moscow Aviation Institute (National Research University), Moscow, Russia
e-mail: kirill.danyakin@yandex.ru

Abstract
The article describes applying machine learning methods for improving the efficiency of business processes when working with clients in an IT company. Two models of machine learning are considered: clustering the customer base and revenue forecasting.

Keywords: Machine Learning, IT Company, customer base segmentation, forecasting

Column: Data Analysis

DOI: https://doi.org/10.17759/mda.2019090404

For Reference

Acknowledgements

The authors are grateful to G.F. Artamonov, General Director of OVIONT INFORM, for the data provided.

References
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  4. Wang L., Leckie C., Ramamohanarao K., Bezdek J. Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Transactions on Knowledge and Data Engineering, vol. 21, 2009. p. 335–350.
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