data mining in large spatiotemporal data sets dr amy mcgovern amcgovern@ou.edu associate professor,...

Data mining in large spatiotemporal data sets

Dr Amy McGovernamcgovern@ou.edu

Associate Professor, School of Computer ScienceAdjunct Associate Professor, School of Meteorology

Overview

• My lab develops and applies spatiotemporal relational data mining methods for large data sets

• Example data sets:– Severe weather prediction

including tornadoes, hail, severe wind events

– Aircraft turbulence prediction

Relevance

• Goals: – Automatic discovery of spatial, temporal, and

spatiotemporal relationships that can predict events– Enable domain scientists to revolutionize their

understanding of the causes of the event• Large data sets cannot be understood or mined by

hand– Automated methods must be used– Our methods aim for knowledge discovery not just

data mining

Collaboration interests

• Our methods are general and will apply beyond severe weather. We are interested in new collaborators!

• Interested in large and complex data sets with spatial, temporal, or spatiotemporal components– Prefer prediction tasks– Prefer non-text data