Olga O. Mezentseva

Orcid: 0000-0002-8430-4022

Affiliations:
  • Taras Shevchenko National University of Kyiv, Ukraine


According to our database1, Olga O. Mezentseva authored at least 10 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of seven.
  • Erdős number3 of six.

Timeline

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Bibliography

2021
Customer Churn Prediction in the Software by Subscription models IT business using machine learning methods.
Proceedings of the 1st International Workshop on Information Technologies: Theoretical and Applied Problems 2021, 2021

Environmental Impact Assessment Procedure As The Implementation Of The Value Approach In Environmental Projects.
Proceedings of the 2nd International Workshop IT Project Management (ITPM 2021), 2021

Predicting Customer Churn Using Machine Learning in IT Startups.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Using Agile Frameworks in Big Data projects.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

2020
The method of Interaction Modeling on Basis of Deep Learning the Neural Networks in Complex IT-Projects.
Int. J. Comput., 2020

Application of Game Theory for Decisions Making on the Development of IT Products.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Development of a Markov Model of Changes in Patients' Health Conditions in Medical Projects.
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Product Development of Start-up Through Modeling of Customer Interaction Based on Data Mining.
DSMP (Selected Papers), 2020

Trainable Neural Networks Modelling for a Forecasting of Start-Up Product Development.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019
Investigation of Forecasting Methods of the State of Complex IT-Projects with the Use of Deep Learning Neural Networks.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019


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