KES-2022

One of the constantly recurring topics in many organizational systems is how to convert large amounts of operational data collected daily into useful knowledge from the perspective of declared corporate goals and expected business values. The main focus of this invited session is a Data science (DS) paradigm, as a set of theories, methods, processes, architectures, and technologies that transform raw data into meaningful and useful information and knowledge.Various interdisciplinary DS approaches can enable organizations to use their data to improve business quality, increase financial and operational efficiency, conduct innovative research, and meet regulatory requirements. The application of appropriate DS implementation methods, coupled with results related to collaborative and interdisciplinary approaches, is inevitable when applying DS approaches to large and complex organizational systems. For many years, such interdisciplinary approaches have been used to analyze big data obtained not only from economic sectors but also from public, non-profit, and government sectors.

The main objective of the meeting is to attract researchers from around the world who can share their contributions, interdisciplinary approaches, or case studies in the field of DS. The focus can be set on various aspects of DS and data science, such as: data warehousing, reporting, online analysis, data analysis, data mining, process mining, text mining, predictive analytics, and prescriptive analytics, as well as various aspects of big data analytics and time series analysis. We are interested in bringing together scientists and practitioners who are interested in the application of DS approaches in public and government sectors such as healthcare, education, or security services. However, experts from all fields are welcome.