MPSESM-W 2020
Machine Learning Methods and Models, Predictive Analytics and Applications 2020

Table of Contents

• Frontmatter
• Committees

• Machine Learning Methods and Models, Predictive Analytics and Applications
  1-5 Lidiya Guryanova, Roman Yatsenko, Nadija Dubrovina, Vitalina Babenko
• Classification of E-commerce Customers Based on Data Science Techniques
  6-20 Olena Piskunova, Rostyslav Klochko
• Models for Forecasting Systemic Transformations in the Economy of Resort-Recreational Sphere
  21-33 Pavel Zakharchenko, Mikhail Gritsenko, Natalya Kirkova, Viktor Mukhin
• Model Tools of Credit Risks Assessment of Agricultural Enterprises in International Trade
  34-49 Olga Nashchekina, Olena Sergienko, Igor Sosnov, Maryna Tatar, Evgeniy Shapran
• Some Aspects of Machine Learning in Location Tasks
  50-57 Kateryna Kononova
• Selective Adaptive Model for Forecasting of Regional Development Unevenness Indexes
  58-76 Liubov Chagovets, Natalia Chernova, Tamara Klebanova, Oleksandr Dorokhov, Anastasia Didenko
• Methods and Models of Machine Learning in Managing the Competitiveness of Audit Companies
  77-91 Lidiya Guryanova, Stanislav Milevskyi, Elena Piskun, Maria Belyaeva, Liliya Kasyanenko
• Modelling of the Derivatives Pricing with Multifactor Volatility
  92-108 Ivan Burtnyak, Anna Malytska, Vitalii Gvozdytskyi

• Author Index