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» Passenger-based predictive modeling of airline no-show rates
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KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 5 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
14 years 5 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
BMCBI
2004
128views more  BMCBI 2004»
13 years 4 months ago
Structural characterization of genomes by large scale sequence-structure threading: application of reliability analysis in struc
Background: We establish that the occurrence of protein folds among genomes can be accurately described with a Weibull function. Systems which exhibit Weibull character can be int...
Artem Cherkasov, Shannan J. Ho Sui, Robert C. Brun...