The need for sustainable development of Ukrainian regions is due to the global threat of environm... more The need for sustainable development of Ukrainian regions is due to the global threat of environmental degradation, the unstable situation in the world economy, low socio-economic indicators of the country and weak innovation activity. An important factor that has an influence on the economic development of regions is the ecological state of the environment. It plays one of the most important roles in the conducting of economic activities that require the use of natural resources. According to the results of the investigation, four clusters were formed. Cluster analysis made it possible to conduct a general assessment of the state of the regions of Ukraine, to form groups by similarity and to draw sound conclusions about the existence of similarities in the economy. The formation of clusters and the development of sustainable development policies for individual clusters, which should have significant differences, taking into account their specifics, will contribute to the more effec...
Machine learning (ML) methods are effective tools for analysis of many actual problems in modern ... more Machine learning (ML) methods are effective tools for analysis of many actual problems in modern banking. Increasing growth of data and rapid digitalization underpin the acceleration of ML implementation. These processes are especially noticeable in consumer banking because banks have millions of the retail customers. The first goal of our research is to form an extended review ML application in consumer banking. From one side we have identified the most developed ML methods, which are applied in this segment (for example different types of regressions, fuzzy clustering, neural network, principal component analysis etc.). From the other side, we point out two multi-purpose tools used by banks in consumer segment intensively, namely scoring and clustering. Secondly, our goal is to present some innovative applications of ML methods to the analysis of each task. This includes several applications for scoring models and fuzzy clustering application. All applications are oriented to make...
The need for sustainable development of Ukrainian regions is due to the global threat of environm... more The need for sustainable development of Ukrainian regions is due to the global threat of environmental degradation, the unstable situation in the world economy, low socio-economic indicators of the country and weak innovation activity. An important factor that has an influence on the economic development of regions is the ecological state of the environment. It plays one of the most important roles in the conducting of economic activities that require the use of natural resources. According to the results of the investigation, four clusters were formed. Cluster analysis made it possible to conduct a general assessment of the state of the regions of Ukraine, to form groups by similarity and to draw sound conclusions about the existence of similarities in the economy. The formation of clusters and the development of sustainable development policies for individual clusters, which should have significant differences, taking into account their specifics, will contribute to the more effec...
Machine learning (ML) methods are effective tools for analysis of many actual problems in modern ... more Machine learning (ML) methods are effective tools for analysis of many actual problems in modern banking. Increasing growth of data and rapid digitalization underpin the acceleration of ML implementation. These processes are especially noticeable in consumer banking because banks have millions of the retail customers. The first goal of our research is to form an extended review ML application in consumer banking. From one side we have identified the most developed ML methods, which are applied in this segment (for example different types of regressions, fuzzy clustering, neural network, principal component analysis etc.). From the other side, we point out two multi-purpose tools used by banks in consumer segment intensively, namely scoring and clustering. Secondly, our goal is to present some innovative applications of ML methods to the analysis of each task. This includes several applications for scoring models and fuzzy clustering application. All applications are oriented to make...
Uploads
Papers by Marina Nehr