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Applying neural computing to target marketing
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Applying neural computing to target marketing (1997)Applying neural computing to target marke…What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns (2021)What drives a donor? 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(2004)Artificial neural networks, c…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Mastering Data Mining: The Art and Science of Customer Relationship Management (2000)Knowledge management and data mining for marketing (2001)Model selection for direct marketing: performance criteria and validation methods (2008)The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers (2020)Bagging and Boosting Classification Trees to Predict Churn (2006)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions (2009)Improving direct mail targeting through customer response modeling (2015)Leveraging non-respondent data in customer satisfaction modeling (2021)Optimal Selection for Direct Mail (1995)A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005)A literature review of the current applications of machine learning and their practical implications (2020)Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning (2020)The Customer Pyramid: Creating and Serving Profitable Customers (2001)Antecedents and consequences of relationship intention: Implications for transaction and relationship marketing (2003)Building and sustaining profitable customer loyalty for the 21st century (2004)Lead management optimization using data mining: A case in the telecommunications sector (2021)Bankruptcy prediction using neural networks (1994)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation (1999)The dirt on bikes: an illustration of CART models for brand differentiation (2008)Segmentation of Indian shoppers based on store attributes (2009)Can artificial neural network models be used to improve the analysis of B2B marketing research data? (2019)Developing Buyer-Seller Relationships (1987)The Changing Role of Marketing in the Corporation (1992)Research Methods for Business (2007)Improving Direct Marketing Profitability with Neural Networks (2011)Analyzing Patients’ Values by Applying Cluster Analysis and LRFM Model in a Pediatric Dental Clinic in Taiwan (2014)An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Principles of Marketing (1972)Support vector machines for default prediction of SMEs based on technology credit (2009)Case Study Research: Design and Methods (1984)Marketing Research: An Applied Orientation (1994)Case Study Research (2004)A divide‐and‐conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing (2017)A two‐step system for direct bank telemarketing outcome classification (2017)Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method (2018)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)
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Cited by

  • 2013Response Modeling in Direct Marketing37 cited
  • 2004Implementing Neural Networks for Decision Support in Direct Marketing32 cited
  • 2007Application of neural networks to recognize profitable customers for dental services marketing-a case of dental clinics in Taiwan28 cited
  • 2009Semi-Supervised Response Modeling25 cited
  • 2012Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment25 cited
  • 2004Artificial neural networks, classification trees and regression: Which method for which customer base?25 cited
  • 2011A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application24 cited
  • 2007A new approach to customer targeting under conditions of information shortage23 cited
  • 2008Supervised Classification for Decision Support in Customer Relationship Management19 cited
  • 2015Targeting High Value Customers While under Resource Constraint: Partial Order Constrained Optimization with Genetic Algorithm18 cited
  • 2021What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns12 cited

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