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Quantitative models for direct marketing: A review from systems perspective
10 references·16 citing·43 second hop
Quantitative models for direct marketing: A review from systems perspective (2008)Quantitative models for direct marketing:…Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming (2006)Machine Learning for Direct M…Predicting online-purchasing behaviour (2004)Predicting online-purchasing …Joint optimization of customer segmentation and marketing policy to maximize long-term profitability (2004)Joint optimization of custome…Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Bayesian neural network learn…Knowledge management and data mining for marketing (2001)Knowledge management and data…Data mining for direct marketing: problems and solutions (1998)Data mining for direct market…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…The Value of Purchase History Data in Target Marketing (1996)The Value of Purchase History…Mailing Decisions in the Catalog Sales Industry (1996)Mailing Decisions in the Cata…Optimal Selection for Direct Mail (1995)Optimal Selection for Direct …Research on the influence of after-sales service quality factors on customer satisfaction (2020)Research on the influence of …A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network (2020)A multi-objective mixed-integ…Direct marketing campaigns in retail banking with the use of deep learning and random forests (2019)Direct marketing campaigns in…Intelligent data analysis approaches to churn as a business problem: a survey (2016)Intelligent data analysis app…Crop-related harvesting and processing planning: a review (2016)Crop-related harvesting and p…The land-network problem: ecosystem carbon balance in planning sustainable agro-food supply chains (2015)The land-network problem: eco…New approach to customer segmentation based on changes in customer value (2015)New approach to customer segm…Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach (2014)Supply chain performance eval…Integrating deterioration and lifetime constraints in production and supply chain planning: A survey (2014)Integrating deterioration and…Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework (2013)Model-supported business-to-b…Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Customer churn prediction in …Direct marketing decision support through predictive customer response modeling (2012)Direct marketing decision sup…Performance measurement in the food supply chain: a balanced scorecard approach (2010)Performance measurement in th…OR in developing countries: A review (2010)OR in developing countries: A…A robust optimization approach to wine grape harvesting scheduling (2008)A robust optimization approac…A reference model for customer-centric data mining with support vector machines (2008)A reference model for custome…Customer satisfaction, customer retention, and market share (1993)Why Satisfied Customers Defect (1995)Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids (2000)Clickstream Data and Inventory Management: Model and Empirical Analysis (2011)Modeling Consumer Purchasing Behavior in Social Shopping Communities with Clickstream Data (2011)On the platform but will they buy? 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this work references cited by second hop

References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 1996The Value of Purchase History Data in Target Marketing754 cited
  • 1998Data mining for direct marketing: problems and solutions658 cited
  • 2001Knowledge management and data mining for marketing575 cited
  • 1995Optimal Selection for Direct Mail447 cited
  • 2004Predicting online-purchasing behaviour267 cited
  • 2002Bayesian neural network learning for repeat purchase modelling in direct marketing218 cited
  • 2006Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming200 cited
  • 1996Mailing Decisions in the Catalog Sales Industry193 cited
  • 2004Joint optimization of customer segmentation and marketing policy to maximize long-term profitability192 cited

Cited by

  • 2020Research on the influence of after-sales service quality factors on customer satisfaction212 cited
  • 2008A robust optimization approach to wine grape harvesting scheduling176 cited
  • 2014Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach168 cited
  • 2013Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning158 cited

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

  • 2010Performance measurement in the food supply chain: a balanced scorecard approach157 cited
  • 2014Integrating deterioration and lifetime constraints in production and supply chain planning: A survey150 cited
  • 2016Crop-related harvesting and processing planning: a review138 cited
  • 2015The land-network problem: ecosystem carbon balance in planning sustainable agro-food supply chains119 cited
  • 2019Direct marketing campaigns in retail banking with the use of deep learning and random forests96 cited
  • 2020A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network89 cited
  • 2008A reference model for customer-centric data mining with support vector machines86 cited
  • 2013Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework86 cited
  • 2010OR in developing countries: A review78 cited
  • 2012Direct marketing decision support through predictive customer response modeling77 cited
  • 2016Intelligent data analysis approaches to churn as a business problem: a survey74 cited
  • 2015New approach to customer segmentation based on changes in customer value63 cited