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Analysis of Customer Segmentation Based on Broad Learning System
5 references·1 citing·25 second hop
Analysis of Customer Segmentation Based on Broad Learning System (2019)Analysis of Customer Segmentation Based o…Facial Expression Recognition via Broad Learning System (2018)Facial Expression Recognition…Consumer Purchasing Behavior Extraction Using Statistical Learning Theory (2014)Consumer Purchasing Behavior …Analysis of Residence Time in Shopping Using RFID Data -- An Application of the Kernel Density Estimation to RFID (2011)Analysis of Residence Time in…A neural network application to consumer classification to improve the timing of direct marketing activities (2004)A neural network application …Neural Networks in Business Forecasting (2003)Neural Networks in Business F…Customer Segmentation in the Field of Marketing (2022)Customer Segmentation in the …A Logit Model of Brand Choice Calibrated on Scanner Data (1983)The Market Maven: A Diffuser of Marketplace Information (1987)Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets (1996)Functional-link net with fuzzy integral for bankruptcy prediction (2006)Targeting direct marketing campaigns by neural networks (2011)Exploring the relationship between marketing and operations: Neural network analysis of marketing decision impacts on delivery performance (2014)An exploratory look at supermarket shopping paths (2005)Testing Behavioral Hypotheses Using an Integrated Model of Grocery Store Shopping Path and Purchase Behavior (2009)Visualising Crime Clusters in a Space-time Cube: An Exploratory Data-analysis Approach Using Space-time Kernel Density Estimation and Scan Statistics (2010)Customer Behavior Modelling Using Radio Frequency Identification Data and the Hidden Markov Model (2012)Prediction of consumer purchase behaviour using Bayesian network: an operational improvement and new results based on RFID data (2016)The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship (2017)A Logit Model of Brand Choice Calibrated on Scanner Data (Логистическая модель выбора бренда, откалиброванная на панельных данных сканированных штрих-кодов покупок) (1983)Using statistical learning theory for purchase behavior prediction via direct observation of in-store behavior (2015)Comprehensive Analysis and Mining Big Data on Smart E-commerce User Behavior (2020)Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks (2022)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)Buyer targeting optimization: A unified customer segmentation perspective (2016)Customer Segmentation using K-means Clustering (2018)A review of data mining methods in RFM-based customer segmentation (2021)The application of neural networks to forecast fuzzy time series (2005)Evaluating and forecasting banking crises through neural network models: An application for Turkish banking sector (2006)Neuro-Based Artificial Intelligence Model for Loan Decisions (2010)
this work references cited by second hop

References

  • 2003Neural Networks in Business Forecasting124 cited
  • 2004A neural network application to consumer classification to improve the timing of direct marketing activities66 cited
  • 2018Facial Expression Recognition via Broad Learning System43 cited
  • 2014Consumer Purchasing Behavior Extraction Using Statistical Learning Theory23 cited
  • 2011Analysis of Residence Time in Shopping Using RFID Data -- An Application of the Kernel Density Estimation to RFID13 cited

Cited by

  • 2022Customer Segmentation in the Field of Marketing6 cited

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