@inproceedings{77d9c5ae356a4b30aa5c5841087c3344,
title = "ARTMAP-IC neural networks for predicting insurance policy ownership",
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.",
keywords = "Adaptive resonance theory, ARTMAP-IC, Data mining, Neural networks",
author = "Anatoli Nachev",
year = "2006",
language = "English",
isbn = "9806560663",
series = "WMSCI 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.",
pages = "322--327",
booktitle = "WMSCI 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.",
note = "10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 ; Conference date: 16-07-2006 Through 19-07-2006",
}