Colloquium Series - Concepts and Algorithms in Data Mining by Dr. Ilias S. Kotsireas

 

Data Mining has exhibited a pervasive and continuing impact in Computer Science and other disciplines in the past several years. We will introduce in detail two of the most important concepts in Data Mining, namely association rules and decision trees and will illustrate them with real-life examples. We will also discuss algorithms that allow us to compute association rules and decision trees efficiently. The talk will be self-contained and doesn't require any previous knowledge of Data Mining.

 

Keywords: Data Mining

 

Ilias S. Kotsireas serves as a Computer Science Professor and the Director of the CARGO Lab at Wilfrid Laurier University (Waterloo, Ontario, Canada). He has more than 200 refereed journal and conference publications, chapters in books, authored and edited books and special issues of journals, in the research areas of Computational Algebra, Metaheuristics, High-Performance Computing, Dynamical Systems and Combinatorial Design Theory. He serves on the Editorial Board of 11 international journals. He serves as the Editor in Chief of a Springer journal. He has organized a very large number of international conferences in Europe, North America and Asia, often serving as a Program Committee Chair or General Chair. His research has been funded by NSERC, the European Union and NSFC. He has received funding for conference organization from Maplesoft, the Fields Institute and several Wilfrid Laurier University offices. He served as Chair of the ACM Special Interest Group on Symbolic Computation (SIGSAM) on a 4-year term: July 2013 to July 2017. He is a co-chair of the Applications of Computer Algebra Working Group (ACA WG), a group of 45 internationally renowned researchers that oversee the organization of the ACA conference series. He has delivered more than 50 invited/plenary talks at conferences around the world.