Introduction to Data Mining
for Molecular Databases
Janice Glasgow & Igor Jurisica
This tutorial will provide an introduction to the latest computational
techniques for data mining and knowledge discovery. Basic definitions
will be presented along with a description of a variety of algorithms,
including ones from statistics and artificial intelligence. As
well, an overview of existing systems and web sources will be
covered. The tutorial will conclude with a discussion of
some previous examples of data mining and knowledge discovery
applications for both sequence and structure databases.
Janice Glasgow is a Professor and Head in the Department of
Computing and Information Science, Queen's University, Canada.
Her research interests include the design and development of
knowledge representation techniques for computational imagery,
and the application of these techniques to the determination
of molecular structure from crystallographic data.
Igor Jurisica is an Assistant Professor in the Faculty of
Information Science, University of Toronto, Canada.
His research interests include the design and implementation
of techniques for case-based reasoning and machine learning.
As well, he is interested in the integration of case-based
and image-based reasoning and the application of this
research to problems in bio-medicine.
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