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A Novel Method for Exploring the Store Sales Forecasting using Fuzzy Pruning LS-SVM Approach
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A Novel Method for Exploring the Store Sales Forecasting using Fuzzy Pruning LS-SVM Approach (2023)A Novel Method for Exploring the Store Sa…Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society (2020)Product recommendation for e-…Export sales forecasting using artificial intelligence (2020)Export sales forecasting usin…Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology (2019)Sales Demand Forecast in E-co…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform (2016)Research on China's energy su…A Deep Learning Approach for the Prediction of Retail Store Sales (2016)A Deep Learning Approach for …Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis (2011)Forecasting and inventory per…Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry (2010)Sales forecasting system base…Fashion retail forecasting by evolutionary neural networks (2008)Fashion retail forecasting by…A hybrid sales forecasting system based on clustering and decision trees (2005)A hybrid sales forecasting sy…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Inflation, forecast intervals and long memory regression models (2002)Inflation, forecast intervals…A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm (2001)A sales forecasting system ba…Comparison of Deep Learning Algorithms for Retail Sales Forecasting (2024)Comparison of Deep Learning A…System of experimental design : engineering methods to optimize quality and minimize costs (1987)Designing a neural network for forecasting financial and economic time series (1996)Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)Machine Learning in Predicting Demand for Fast-Moving Consumer Goods: An Exploratory Research (2019)Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales (2022)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. 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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2005A hybrid sales forecasting system based on clustering and decision trees185 cited
  • 2019Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology175 cited
  • 2001A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm171 cited
  • 2020Export sales forecasting using artificial intelligence157 cited
  • 2008Fashion retail forecasting by evolutionary neural networks154 cited
  • 2010Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry117 cited
  • 2011Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis96 cited
  • 2002Inflation, forecast intervals and long memory regression models93 cited
  • 2020Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society87 cited
  • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited
  • 2016A Deep Learning Approach for the Prediction of Retail Store Sales66 cited

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2016
Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform
47 cited

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  • 2024Comparison of Deep Learning Algorithms for Retail Sales Forecasting26 cited