Monitoring of complex systems based on data mining
Supervisor Ph.D., Associate Professor Sydorenko
General research topics
- development of methods, algorithms and information technologies for monitoring complex systems (web, social media, etc.) based on data mining in the field of marketing, advertising, information influence and countermeasures, optimization of service to consumers of Internet services, etc.
Keywords (kw): complex networks, social media, stylometriс analysis, sentiment analysis, natural language processing.
Key tasks
1. Development of methods and information technologies for monitoring (collection, processing and intellectual analysis) of complicated data from social media (text, emojis) generated by users
2. Search for non-trivial behavioral patterns of social media users using methods of semantic and sentiment analysis of complex textual content
3. Segmentation and classification of customers of Internet services in conditions of limited and distorted information for tasks of service optimization
Possible areas for cooperation
- IoT solutions for buildings;
- Energy efficient solutions for industrial automation;
- Energy efficient solutions for electromechanical control systems;
- Electromechanical equipment condition monitoring and lifetime estimation;
- Distant learning technologies.