ARTMAP-IC neural networks for predicting insurance policy ownership

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

The task how to predict profiles of potential customers for a product is important for a direct mailing company. A good prediction allows the company to detect potential customers and to avoid unnecessary and unwanted mailing. This paper describes a non-linear methodology to predict profiles of potential customers using ARTMAP-IC neural networks. The paper discusses advantages of the proposed approach over similar techniques based on neural networks.

Original languageEnglish
Title of host publicationWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Pages322-327
Number of pages6
Publication statusPublished - 2006
Event10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States
Duration: 16 Jul 200619 Jul 2006

Publication series

NameWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Volume1

Conference

Conference10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
Country/TerritoryUnited States
CityOrlando, FL
Period16/07/0619/07/06

Keywords

  • Adaptive resonance theory
  • ARTMAP-IC
  • Data mining
  • Neural networks

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