COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER AND THE DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES – Scientific Data Mining and Its Applications in Tropical Cyclone Research – Ruixin Yang
COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES
(CSI 898-Sec 001)
Scientific Data Mining and Its Applications in Tropical Cyclone Research
Ruixin Yang, Associate Professor
Department of Geography and Geoinformatics
George Mason University
October 31, 4:30 pm
Exploratory Hall, Room 3301
In this talk I will give an overview of of scientific data mining (SDM) followed by a few examples of SDM applications to the analysis of tropical cyclones (TCs), focusing on their intensity changes. Because rapidly intensifying (RI) tropical cyclones are the major error sources in TC intensity forecasting, association rules facilitate the RI process by mining for sets of conditions that have strong interactions with rapidly intensifying TCs. The technique of association rules explores associations among multiple conditions in a simple manner identifying a predictor set with fewer factors but improved RI probabilities. Furthermore, in searching the “optimal” RI condition combinations, a peculiar condition combination was identified that gives a very high RI probability. Such combination can be considered as a sufficient condition for RI that almost guarantees that a RI will take place. Applications of classification techniques to the intensity forecasting will also be discussed. Several drawbacks and future directions for SDM with the TC intensity change problem will be discussed at the end of the talk.
Refreshments will be served at 4:15 PM.
Find the schedule at http://www.cmasc.gmu.edu/seminars.htm