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Feature Mining Paradigms for Scientific Data
[chapter]
2003
Proceedings of the 2003 SIAM International Conference on Data Mining
Numerical simulation is replacing experimentation as a means to gain insight into complex physical phenomena. Analyzing the data produced by such simulations is extremely challenging, given the enormous sizes of the datasets involved. In order to make efficient progress, analyzing such data must advance from current techniques that only visualize static images of the data, to novel techniques that can mine, track, and visualize the important features in the data. In this paper, we present our
doi:10.1137/1.9781611972733.2
dblp:conf/sdm/JiangCMCBHRPMTWG03
fatcat:vdyzq5ceqbf5tpao65anfvqsjy