SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
5 references·0 citing·26 second hop
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is? (2011)Beating the baseline prediction in food s…The study of a forecasting sales model for fresh food (2010)The study of a forecasting sa…Meta-learning for time series forecasting and forecast combination (2010)Meta-learning for time series…Another look at measures of forecast accuracy (2006)Another look at measures of f…Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing (2005)Time series sales forecasting…Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty (1998)Supply Chain Management in Fo…Integrating the Supply Chain (1989)Strategic Issues in Product Recovery Management (1995)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Risk management in supply chain: a real option approach (2006)Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling (2015)Supply Chain Risk Management: Literature Review (2021)Forecasting methods and applications (1993)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Forecasting with artificial neural networks: (1998)A combination of artificial neural network and random walk models for financial time series forecasting (2013)Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting (2018)Retail sales forecasting with meta-learning (2020)Econometric Models and Economic Forecasts (1990)A new two-stage hybrid approach of credit risk in banking industry (2008)MODEL CONSTRUCTION OF OPTION PRICING BASED ON FUZZY THEORY (2011)Statistical analysis for consumers’ intentions of purchasing cosmetics (2011)A COMPARATIVE STUDY ON THE FORECAST OF FRESH FOOD SALES USING LOGISTIC REGRESSION, MOVING AVERAGE AND BPNN METHODS (2012)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting (2015)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)Daily retail demand forecasting using machine learning with emphasis on calendric special days (2020)Automatic Time Series Forecasting: The forecast Package for R (2008)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 2010Meta-learning for time series forecasting and forecast combination244 cited
  • 2005Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing197 cited
  • 1998Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty192 cited
  • 2010The study of a forecasting sales model for fresh food89 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work