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Dynamic ticket pricing of airlines using variant batch size interpretable multi-variable long short-term memory
11 references·2 citing·45 second hop
Dynamic ticket pricing of airlines using variant batch size interpretable multi-variable long short-term memory (2021)Dynamic ticket pricing of airlines using …A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)A new forecasting model with …Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Digital currency forecasting …Airline ticket price and demand prediction: A survey (2019)Airline ticket price and dema…Passenger booking timing for low-cost airlines: A continuous logit approach (2017)Passenger booking timing for …Airfare prices prediction using machine learning techniques (2017)Airfare prices prediction usi…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Data-driven Modeling of Airlines Pricing (2015)Data-driven Modeling of Airli…A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application (2008)A multivariate neural forecas…Special Issue Papers: Forecasting and control of passenger bookings (2005)Special Issue Papers: Forecas…Price elasticities of demand for passenger air travel: a meta-analysis (2002)Price elasticities of demand …Neural Network Models for Time Series Forecasts (1996)Neural Network Models for Tim…Benefits, challenges, and limitations of inventory control using machine learning algorithms: literature review (2024)Benefits, challenges, and lim…Learning customer preferences and dynamic pricing for perishable products (2022)Learning customer preferences…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Averages of Forecasts: Some Empirical Results (1983)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)The use of data mining and neural networks for forecasting stock market returns (2005)Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950-1988 (1991)Concepts of Price Elasticities of Transport Demand and Recent Empirical Estimates: An Interpretative Survey (2005)Tourists' Perception of International Air Travel's Impact on the Global Climate and Potential Climate Change Policies (2007)High-speed rail and air transport competition: Game engineering as tool for cost-benefit analysis (2010)Consumer behaviour and demand response of tourists to climate change (2011)Time series forecasting using neural networks (1994)A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models (2014)Forecasting transportation demand for the U.S. market (2019)Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models (2023)Market Conduct in the Airline Industry: An Empirical Investigation (1990)Passengers’ perceptions of low cost airlines and full service carriers: A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia Airlines (2005)An airfare prediction model for developing markets (2018)Price Discrimination in the Online Airline Market: An Empirical Study (2021)Prediction of Flight-fare using machine learning (2022)Pricing strategies of low-cost airlines: The Ryanair case study (2008)Has Ryanair's pricing strategy changed over time? 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this work references cited by second hop

References

  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series481 cited
  • 1996Neural Network Models for Time Series Forecasts468 cited
  • 2005Special Issue Papers: Forecasting and control of passenger bookings423 cited
  • 2019Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques388 cited
  • 2002Price elasticities of demand for passenger air travel: a meta-analysis357 cited
  • 2019Airline ticket price and demand prediction: A survey93 cited
  • 2017Airfare prices prediction using machine learning techniques92 cited
  • 2008A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application73 cited
  • 2015Data-driven Modeling of Airlines Pricing40 cited
  • 2017Passenger booking timing for low-cost airlines: A continuous logit approach30 cited

Cited by

  • 2022Learning customer preferences and dynamic pricing for perishable products17 cited
  • 2024Benefits, challenges, and limitations of inventory control using machine learning algorithms: literature review12 cited

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