14 papers:
- CASE-2015-Yen #realtime #using
- Optimize the flight path for airlines using real-time information (JRY), p. 1649.
- DUXU-WM-2013-EksiogluKCGKY #experience #user interface
- A User Experience Study of Airline Websites (ME, EK, TÇ, MG, EDK, MY), pp. 173–182.
- CSMR-2012-BurgerH #maintenance #metric
- Applying Maintainability Oriented Software Metrics to Cabin Software of a Commercial Airliner (SB, OH), pp. 457–460.
- CASE-2009-Srinidhi #development
- Development of an airline traffic forecasting model on international sectors (SS), pp. 322–327.
- HIMI-II-2009-LevaKCLKSM #performance #safety
- Unique Reporting Form: Flight Crew Auditing of Everyday Performance in an Airline Safety Management System (MCL, AMK, JC, GL, SK, DS, NM), pp. 806–815.
- ICEIS-AIDSS-2009-CastroO #multi #quality #using
- Using Quality Costs in a Multi-agent System for an Airline Operations Control (AJMC, EO), pp. 19–24.
- ICEIS-AIDSS-2007-CastroO #distributed #multi #problem
- A Distributed Multi-Agent System to Solve Airline Operations Problems (AJMC, EO), pp. 22–30.
- ICEIS-J-2007-CastroO07a #distributed #multi #problem #using
- Solving Airline Operations Problems Using Specialized Agents in a Distributed Multi-Agent System (AJMC, ECO), pp. 173–184.
- CASE-2006-ViswanadhamPG #exception #process
- Decision Support System for Exception Management in RFID Enabled Airline Baggage Handling Process (NV, AP, RSG), pp. 351–356.
- CSCW-2006-NomuraHH
- The uses of paper in commercial airline flight operations (SN, EH, BEH), pp. 249–258.
- ICDAR-2005-HepingWG #evaluation #string
- An Evaluation System for String Extraction in the Airline Coupon Project (YH, ZW, SG), pp. 930–934.
- ICDAR-2003-LiWZ #approach #image #statistics #string #using
- String Extraction From Color Airline Coupon Image Using Statistical Approach (YL, ZW, HZ), pp. 289–293.
- KDD-2003-LawrenceHC #modelling #predict
- Passenger-based predictive modeling of airline no-show rates (RDL, SJH, JC), pp. 397–406.
- KDD-2001-HueglinV #data mining #mining
- Data mining techniques to improve forecast accuracy in airline business (CH, FV), pp. 438–442.