Data Mining Research Questions Raised by Biological Data

C. David Page Jr., University of Wisconsin Medical School

Biological databases have become a primary application for data mining in recent years.  Biotechnology has developed a variety of high-throughput tools for rapidly generating vast amounts of biological data, and more such tools are on the horizon.  This talk will begin with a survey of new and possible future types of biological data, as well as the potential benefits for society of knowledge discovered from this data.  The talk then will use this survey of biological data types to motivate several theoretical research questions and directions in data mining.  These questions and directions fall into such areas as multi-relational data mining, mining time-series data, improving greedy heuristics, and human-computer interaction in data mining.


David Page received his Ph.D. in 1993 from the University of Illinois at Urbana-Champaign. He was a Postdoctoral Research Scientist at the Oxford University Computing Laboratory  from 1993 to 1997). From 1997 to 1999 he was an Assistant Professor at the University of Louisville and founding member of university's Institute for Molecular Diversity and Drug Design. He is now an Assistant Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin (1999-present).