WIREs Data Mining and Knowledge Discovery. October 18, 2021
Jozef M. Zurada, PhD
Professor, Information Systems, Analytics & Operations
College of Business, Room 382
(502) 852-4681
Bio
Jozef Zurada, PhD, DSc, is a professor in the Department of Computer Information Systems, College of Business, University of Louisville, Kentucky. He was a visiting scholar at the School of Computer and Information Science, Edith Cowan, University, Perth, Australia; and the Department of Computer and Electrical Engineering, University of Alberta, Edmonton, Canada. His research interests include applications of advanced computational intelligence and soft computing methods for assisting in decision making in business and manufacturing systems as well as streaming data analytics.
He published about 110 refereed papers and delivered about 65 presentations. His works appeared in journals such as IEEE Transactions on Man, Systems, and Cybernetics; International Journal of Neural Systems; Expert Systems with Applications; Journal of Management Information Systems, Engineering Applications of Artificial Intelligence, IEEE Access, and Wiley Interdisciplinary Reviews: Data Mining, and Knowledge Discovery. He teaches Data Mining, Machine Learning, and Infrastructure Technologies.
Education
- DSc (Technical Sciences, Informatics) Polish Academy of Sciences, Poland
- PhD (Computer Science Engineering) University of Louisville
- MS (Electrical Engineering) Technical University of Gdansk, Poland
Awards & Honors
Distinguished Research and Development Award, 2011
International Association of Assessing Officers
Faculty Excellence Award, 1998
University of Louisville
Achievement Award for New Scholars Nominee, 1997
Conference of Southern Graduate Schools
Outstanding Scholarship Award, 1996
University of Louisville
President's Award, 1981
Gdansk University
Recent Research & Publications
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Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance -
Business intelligence & big data for innovative and sustainable development of organizations Information Systems Management. September 28, 2021 -
Text guide: Improving the quality of long text classification by a text selection method based on feature importance IEEE Access. July 26, 2021 -
Big data in capturing business values Information Systems Management. November 29, 2019 -
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors Engineering Applications of Artificial Intelligence. June 13, 2019