End-to-End support for dating paleolandforms

Authors:
Laura Rassbach;Ken Anderson;Liz Bradley;Chris Zweck;Marek Zreda
Affiliations:
Department of Computer Science, University of Colorado, Boulder, Colorado;Department of Computer Science, University of Colorado, Boulder, Colorado;Department of Computer Science, University of Colorado, Boulder, Colorado;Department of Hydrology, University of Arizona, Tucson, Arizona;Department of Hydrology, University of Arizona, Tucson, Arizona
Venue:
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Year:
2010

Citing 4
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Abstract

Experts in scientific fields routinely operate under less-than-ideal conditions. We present a deployed data analysis system for cosmogenic isotope dating, a domain that is fraught with difficult automation issues. First, experts must work with a huge array of possible parameters. Our system ACE handles this issue by pushing the bounds of software flexibility. Furthermore, isotope dating experts reason about groups of samples using a large number of vague and contradictory heuristics. Calvin, an argumentation system, addresses this issue. Our intelligent data analysis tool is in daily use by isotope dating experts.