Title: Concepts and Algorithms in Data Mining
Speaker: Dr. Ilias S. Kotsireas, Professor, Department of Physics & Computer Science, Wilfrid Laurier University; Chair, Special Interest Group on Symbolic and Algebraic Manipulation, Association for Computing Machinery.
Location: Room DMB-2A301, Conestoga College Institute of Technology and Advanced Learning, 299 Doon Valley Dr, Kitchener
Description: Data mining has exhibited a pervasive and continuing impact in computer science and other disciplines in the past several years. This first talk in SHARCNET @ Conestoga Seminar Series will introduce, in detail, some of the most popular concepts in data mining, such as association rules and decision trees, and will illustrate them with real-life examples. A discussion on algorithms that allow us to compute association rules and decision trees efficiently is also included. The talk will be self-contained, does not require any previous knowledge of data mining, and all students and faculty are invited to attend.
Dr. Ilias S. Kotsireas is currently a full professor of computer science at Wilfrid Laurier University. He has published over 100 journal and refereed conference papers, technical reports, books, and special issues of journals in areas of computational algebra, dynamical systems, high-performance computing, and combinatorial design theory. He is also Chair of Association for Computing Machinery’s Special Interest Group on Symbolic and Algebraic Manipulation. His research is and has been continuously funded by Natural Sciences and Engineering Research Council of Canada for 15 years.
For more information on this talk or SHARCNET @ Conestoga Seminar Series please contact Dalibor Dvorski at email@example.com