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A hybrid SARIMA wavelet transform method for sales forecasting
9 references·16 citing·43 second hop
A hybrid SARIMA wavelet transform method for sales forecasting (2010)A hybrid SARIMA wavelet transform method …Mean–Variance Analysis for the Newsvendor Problem (2008)Mean–Variance Analysis for th…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Agent-based demand forecast in multi-echelon supply chain (2005)Agent-based demand forecast i…A hybrid sales forecasting system based on clustering and decision trees (2005)A hybrid sales forecasting sy…An Introduction to Wavelets and Other Filtering Methods in Finance and Economics (2002)An Introduction to Wavelets a…A decision support system for vendor managed inventory (2000)A decision support system for…Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…Forecasting methods and applications (1993)Forecasting methods and appli…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Demand forecasting for fashion products: A systematic review (2023)Demand forecasting for fashio…A multimodal analytics framework for product sales prediction with the reputation of anchors in live streaming e-commerce (2023)A multimodal analytics framew…Predictive analytics for demand forecasting: A deep learning-based decision support system (2022)Predictive analytics for dema…Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform (2022)Forecasting crude oil futures…Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation (2020)Energy futures and spots pric…Effective Demand Forecasting Model Using Business Intelligence Empowered With Machine Learning (2020)Effective Demand Forecasting …Demand forecasting in retail operations for fashionable products: methods, practices, and real case study (2019)Demand forecasting in retail …Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research (2017)Forecast Information Sharing …Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…A neuro-fuzzy combination model based on singular spectrum analysis for air transport demand forecasting (2014)A neuro-fuzzy combination mod…Sales Forecasting for Fashion Retailing Service Industry: A Review (2013)Sales Forecasting for Fashion…Fast fashion sales forecasting with limited data and time (2013)Fast fashion sales forecastin…Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs) (2012)Hybridization of autoregressi…A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting (2012)A hybrid approach by integrat…Color Trend Forecasting of Fashionable Products with Very Few Historical Data (2011)Color Trend Forecasting of Fa…An empirical study of intelligent expert systems on forecasting of fashion color trend (2011)An empirical study of intelli…Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Application of support vector machines in financial time series forecasting (2001)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)A comparative study of series arima/mlp hybrid models for stock price forecasting (2018)Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques (2020)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)Machine learning demand forecasting and supply chain performance (2020)Managing Channel Profits (1983)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Quantitative Models for Supply Chain Management (1999)A Modeling Framework for Supply Chain Simulation: Opportunities for Improved Decision Making* (2005)On the benefits of CPFR and VMI: A comparative simulation study (2008)Vendor managed inventory model for single-vendor multi-retailer supply chains (2009)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Principles of forecasting : a handbook for researchers and practitioners (2001)SKU demand forecasting in the presence of promotions (2009)Applications of artificial intelligence in the apparel industry: a review (2011)Introduction to Operations Research (1968)The Fifth Discipline (1990)AI and OR in management of operations: history and trends (2006)Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system (2008)Applications of agent-based models for optimization problems: A literature review (2011)Introduction to Grey system theory (1989)Time series analysis forecasting and control (2009)A survey on retail sales forecasting and prediction in fashion markets (2014)A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches (2020)LSTM with particle Swam optimization for sales forecasting (2022)International comovement of stock market returns: A wavelet analysis (2009)Wavelet-based test of co-movement and causality between oil and renewable energy stock prices (2016)Does Bitcoin hedge global uncertainty? 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this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2002An Introduction to Wavelets and Other Filtering Methods in Finance and Economics1,072 cited
  • 1999Forecasting: Methods and Applications626 cited
  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 2000A decision support system for vendor managed inventory226 cited
  • 2005A hybrid sales forecasting system based on clustering and decision trees185 cited
  • 2005Agent-based demand forecast in multi-echelon supply chain139 cited
  • 2008Mean–Variance Analysis for the Newsvendor Problem133 cited

Cited by

  • 2012A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting157 cited
  • 2013Fast fashion sales forecasting with limited data and time149 cited
  • 2019Demand forecasting in retail operations for fashionable products: methods, practices, and real case study131 cited
  • 2020Effective Demand Forecasting Model Using Business Intelligence Empowered With Machine Learning123 cited
  • 2013Sales Forecasting for Fashion Retailing Service Industry: A Review114 cited
  • 2022

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Predictive analytics for demand forecasting: A deep learning-based decision support system
114 cited
  • 2012Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)100 cited
  • 2022Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform99 cited
  • 2014A neuro-fuzzy combination model based on singular spectrum analysis for air transport demand forecasting97 cited
  • 2020Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation77 cited
  • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited
  • 2023A multimodal analytics framework for product sales prediction with the reputation of anchors in live streaming e-commerce66 cited
  • 2017Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research62 cited
  • 2011An empirical study of intelligent expert systems on forecasting of fashion color trend62 cited
  • 2023Demand forecasting for fashion products: A systematic review60 cited
  • 2011Color Trend Forecasting of Fashionable Products with Very Few Historical Data56 cited