Using a neuro-fuzzy-genetic data mining architecture to determine a marketing strategy in a charitable organization's donor database

IEEE International Engineering Management Conference

Volumn , Issue , 2001, Pages 64-69

  Hemsathapat, K ^a   Dagli, C H ^a   Enke, D ^a  

^a MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

NEURO-FUZZY-GENETIC DATA MINING ARCHITECTURE;

DATA MINING;

EID: 0035167092     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. CRIPS: Customer response based iterative segmentation procedures for response Modeling in direct marketing
2. Knowledge discovery and data mining: Towards a unifying framework
3. An overview of issues in developing industrial data mining and knowledge discovery applications
4. Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
5. Extracting refined rules from knowledge-based neural networks
6. Fuzzy rule extraction from multilayered neural network
7. Selecting fuzzy rules by genetic algorithm
8. Neural network model for defecting rare patterns in data: A telecommunication example