** Sorry for my first email, but this is the Lecture that is today, and the other one is for Thursday this week**
EECS Distinguished Guest Lecturer (There will be two different lectures by Saso Dzeroski) Tuesday **Special Day, Time & Location** May 6 4:30 - 6:30 PM Kelley 1003 Saso Dzeroski EECS Distinguished Guest Lecturer Senior Scientific Associate/ Deputy Head Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia Towards a general framework for data mining In this talk, we will address the ambitious task of formulating a general framework for data mining. We discuss the requirements that such a framework should fulfill: It should elegantly handle different types of data, different data mining tasks, and different types of patterns/models. We also discuss data mining languages and what they should support: this includes the design and implementation of data mining algorithms, as well as their composition into nontrivial multistep knowledge discovery scenarios relevant for practical application. We proceed by laying out some basic concepts, starting with (structured) data and generalizations (e.g., patterns and models) and continuing with data mining tasks and basic components of data mining algorithms (i.e., refinement operators, distances, features and kernels). We next discuss how to use these concepts to formulate constraint-based data mining tasks and design generic data mining algorithms. We finally discuss how these components would fit into the overall framework and in particular into a language for data mining and knowledge discovery. Biography Saso Dzeroski is a senior scientific associate at (and deputy head of) the Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia. He is also an associate professor at the Jozef Stefan International Postgraduate School. He has conducted research on a wide variety of topics within machine learning (including computational scientific discovery, computational learning theory, relational learning, inductive logic programming, reinforcement learning) and its applications (environmental sciences, life sciences and natural language processing). He has also organized a range of scientific and educational events (conferences, workshops, seminars) on the above topics and co-authored/co-edited three books and five published proceedings . He was program co-chair of ICML-99, invited speaker at ICML-02 and general chair of ICML-05 (The Twentysecond International Conference on Machine Learning).
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