MATERIALS

• Introduction
• Decision Trees
• Induction of Rules
• Mining Classification Knowledge
• Multiple classifiers
• Data mining for imbalanced data: Improving classifiers by selective pre-processing of examples
• Data Mining - Knowledge Discovery, Data Warehousing and Machine Learning Final remarks

 

CURRICULUM VITAE

Associate professor, Poznan University of Technology
Institute of Computing Science
Poznan, Poland

Education
June 1987 - M.Sc.,Eng. in Control Engineering (with honors), Poznan University of Technology
May 1994 - Ph.D. in Computer Science (Intelligent Decision Support Systems), Poznan University of Technology (awarded by the Minister of Science, Higher Education and Technology)
May 2001 - Habilitation Thesis in Computer Science, Poznan University of Technology

Professional experience
Junior Research-Teaching Assistant, Institute of Control Engineering, Poznan University of Technology
1989 - 1995, Research-Teaching Assistant, Institute of Computing Science, Poznan University of Technology
1995-2001 Assistant Professor at Poznan University of Technology

Research Interests
Machine learning, data mining and knowledge discovery. Induction of decision rules, classification trees. Mutliple classifiers. Imbalanced data. Data pre-processing, in particular attribute selection and discretization methods. Mining asociation rules and sequence patterns. Web-mining and text mining. Document clustering.  Rough set theory. Methodology and techniques of decision support, including multi-criteria decision analysis. Decision analysis in medicine, technical diagnostics, financial and management problems

Personal web page: http://www.cs.put.poznan.pl/jstefanowski/