Pages that link to "Item:Q1600901"
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The following pages link to Bayesian neural network learning for repeat purchase modelling in direct marketing (Q1600901):
Displaying 19 items.
- A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing (Q323199) (← links)
- Allocation of catalogs to collective customers based on semiparametric response models (Q704136) (← links)
- Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (Q707123) (← links)
- Models for purchase frequency (Q1011249) (← links)
- A reference model for customer-centric data mining with support vector machines (Q1042173) (← links)
- Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. (Q1429958) (← links)
- Cost-sensitive learning and decision making revisited (Q1779549) (← links)
- Predicting online-purchasing behaviour (Q1780768) (← links)
- Customer attrition analysis for financial services using proportional hazard models (Q1877036) (← links)
- A new SOM-based method for profile generation: theory and an application in direct marketing (Q1926723) (← links)
- Insolvency modeling with generalized entropy cost function in neural networks (Q2160033) (← links)
- Predictive analytics for customer repurchase: interdisciplinary integration of buy till you die modeling and machine learning (Q2242311) (← links)
- Response transformation and profit decomposition for revenue uplift modeling (Q2286984) (← links)
- Quantitative models for direct marketing: A review from systems perspective (Q2378370) (← links)
- The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing (Q2497261) (← links)
- Relevance of functional flexibility for heterogeneous sales response models: a comparison of parametric and semi-nonparametric models (Q2503072) (← links)
- Behavior-aware user response modeling in social media: learning from diverse heterogeneous data (Q2629684) (← links)
- Support Vector Clustering for Customer Segmentation on Mobile TV Service (Q5265804) (← links)
- Ranking customers for marketing actions with a two-stage Bayesian cluster and Pareto/NBD models (Q6580727) (← links)
