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Mining Conditions in Rapid Intensifications of Tropical Cyclones---A successful example of scientific data mining-- -

Rapid intensification (RI) of tropical cyclones (TC) is a major error source in TC intensity forecasting. Unexpectedly strong storms can cause substantial damages and losses. In order to improve RI probability estimation, the association rule is used in this study in order to mine candidate sets of factors which have strong interactions with rapidly intensifying TCs. Our mining results identified a reduced predictor set with fewer factors identified in previous studies but improved RI probabilities. This is a real, successful example of scientific data mining.