MPSESM-W 2021
Machine Learning Methods and Models, Predictive Analytics and Applications

Table of Contents

• Frontmatter
• Committees

• Machine Learning Methods and Models, Predictive Analytics and Applications: Development Trends in the Post-crisis Syndrome Caused by COVID-19
  1-7 Lidiya Guryanova, Roman Yatsenko, Nadija Dubrovina, Vitalina Babenko, Vitalii Gvozditskyi
• COVID-19 Measures Sentiment Analysis Based on a Social Network Dataset
  8-17 Kateryna Kononova, Rostyslav Lutsenko
• Risk Assessment of Innovative Projects: Development of Forecasting Models
  18-37 Volodymyr Gorokhovatskyi, Olena Sergienko, Igor Sosnov, Maryna Tatar, Evgeniy Shapran
• Models for Forecasting Innovative Development of the Economy of Resort-recreational Sphere
  38-51 Pavel Zakharchenko, Yana Glazova, Svitlana Zhvanenko, Stanislav Kucher, Viktor Mukhin
• Methods and Models of Machine Learning in Managing the Market Value of the Company
  52-65 Lidiya Guryanova, Oksana Panasenko, Vitalii Gvozditskyi, Mykhaylo Ugryumov, Viktoriia Strilets, Serhii Chernysh
• Set of Models for Assessing Knowledge in Distance Learning Systems
  66-82 Lidiya Guryanova, Roman Yatsenko, Vladyslav Zarzhetskyi, Iryna Lytovchenko
• Derivative Pricing: Predictive Analytics Methods and Models
  83-93 Ivan Burtnyak, Anna Malytska
• Applying of Data Envelopment Analysis to Study Public Administration Effectiveness During a Pandemic
  94-107 Tamara Klebanova, Nataliya Poluektova, Olha Rudachenko
• Determinants of Social Trust: Analysis Using Machine Learning Methods
  108-124 Tamara Merkulova, Hanna Bohdanova
• Clustering Approach to Analysis of the Credit Risk and Profitability for Nonbank Lenders
  125-136 Andrii Kaminskyi, Maryna Nehrey
• Classification Models in the Monitoring Systems of the Population Life Quality
  137-155 Svitlana Prokopovych, Liubov Chagovets, Vitalii Gvozdytskyi, Tamara Klebanova, Tatyana Zavodenko

• Author Index