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A neural clustering and classification system for sales forecasting of new apparel items
11 references·16 citing·49 second hop
A neural clustering and classification system for sales forecasting of new apparel items (2006)A neural clustering and classification sy…Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case (2004)Forecasting business profitab…Neural network forecasts of Canadian stock returns using accounting ratios (2003)Neural network forecasts of C…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Retail performance measures for seasonal fashion (2002)Retail performance measures f…Principles of Forecasting. A Handbook for Researchers and Practitioners (2002)Principles of Forecasting. A …Multicriteria classification and sorting methods: A literature review (2002)Multicriteria classification …Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of forecasting : a…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Comparing the predictive performance of a neural network model with some traditional market response models (1994)Comparing the predictive perf…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Demand forecasting for fashion products: A systematic review (2023)Demand forecasting for fashio…Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda (2022)Machine learning and soft com…Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry (2022)Deep Learning for Demand Fore…A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks (2022)A machine learning-based fram…A review of artificial intelligence applications in apparel industry (2021)A review of artificial intell…Forecasting demand profiles of new products (2020)Forecasting demand profiles o…Attention based Multi-Modal New Product Sales Time-series Forecasting (2020)Attention based Multi-Modal N…Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…A survey on retail sales forecasting and prediction in fashion markets (2014)A survey on retail sales fore…Sales Forecasting in Apparel and Fashion Industry: A Review (2013)Sales Forecasting in Apparel …Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)Sales forecasting for compute…Forecasting Computer Products Sales by Integrating Ensemble Empirical Mode Decomposition and Extreme Learning Machine (2012)Forecasting Computer Products…Retracted: A hybrid artificial intelligence sales‐forecasting system in the convenience store industry (2011)Retracted: A hybrid artificia…An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board (2011)An improved sales forecasting…Forecasting demand for single-period products: A case study in the apparel industry (2010)Forecasting demand for single…A two-stage dynamic sales forecasting model for the fashion retail (2010)A two-stage dynamic sales for…Time Series Analysis: Forecasting and Control (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Using Neural Networks to Understand Service Risk in the Holiday Product (1999)A global forecasting support system adapted to textile distribution (2004)Application of interpretable machine learning models for the intelligent decision (2018)Financial statement analysis and the prediction of stock returns (1989)Artificial neural network models for forecasting and decision making (1994)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)Predicting stock returns by classifier ensembles (2010)Stock market value prediction using neural networks (2010)Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks (2015)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Tactical sales forecasting using a very large set of macroeconomic indicators (2017)Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales (2022)Technological forecasting for decision making (1972)The functions and dysfunctions of hierarchy (2010)The tourism forecasting competition (2010)Validating an innovative real-time Delphi approach - A methodological comparison between real-time and conventional Delphi studies (2011)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Positive Accounting Theory (1985)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)A Discriminant Analysis of Predictors of Business Failure (1972)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Conditional logit analysis of qualitative choice behavior (1972)Decisions with Multiple Objectives: Preferences and Value Trade-Offs (1979)Decisions with Multiple Objectives: Preferences and Value Tradeoffs. (1994)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication (2015)Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods (2020)Construct validity in psychological tests. (1955)Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis, Forecasting, and Control (1995)Judgmental forecasting: A review of progress over the last 25years (2006)Consensus measurement in Delphi studies (2012)
this work references cited by second hop

References

  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2002Multicriteria classification and sorting methods: A literature review686 cited
  • 2002Principles of Forecasting. A Handbook for Researchers and Practitioners517 cited
  • 2003Neural network forecasts of Canadian stock returns using accounting ratios182 cited
  • 1994Comparing the predictive performance of a neural network model with some traditional market response models125 cited
  • 2002Retail performance measures for seasonal fashion82 cited
  • 2004Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case77 cited

Cited by

  • 2012Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks95 cited
  • 2020Forecasting demand profiles of new products94 cited
  • 2014

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A survey on retail sales forecasting and prediction in fashion markets
88 cited
  • 2022Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry76 cited
  • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited
  • 2021A review of artificial intelligence applications in apparel industry68 cited
  • 2010A two-stage dynamic sales forecasting model for the fashion retail68 cited
  • 2011Retracted: A hybrid artificial intelligence sales‐forecasting system in the convenience store industry67 cited
  • 2020Attention based Multi-Modal New Product Sales Time-series Forecasting66 cited
  • 2011An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board63 cited
  • 2022A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks60 cited
  • 2023Demand forecasting for fashion products: A systematic review60 cited
  • 2010Forecasting demand for single-period products: A case study in the apparel industry59 cited
  • 2022Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda55 cited
  • 2013Sales Forecasting in Apparel and Fashion Industry: A Review49 cited
  • 2012Forecasting Computer Products Sales by Integrating Ensemble Empirical Mode Decomposition and Extreme Learning Machine48 cited