ARTMAP-IC neural networks for predicting insurance policy ownership

Anatoli Nachev

ARTMAP-IC neural networks for predicting insurance policy ownership

Anatoli Nachev

Business Information Systems

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-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 language	English (Ireland)
Title of host publication	WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS
Publisher	INT INST INFORMATICS & SYSTEMICS
Number of pages	5
Publication status	Published - 1 Jan 2006

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Nachev, A

Cite this

@inproceedings{7f3c4ca975dc416d9d043755b152ee0b,

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.",

author = "Anatoli Nachev",

year = "2006",

month = jan,

day = "1",

language = "English (Ireland)",

booktitle = "WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS",

publisher = "INT INST INFORMATICS \& SYSTEMICS",

}

TY - GEN

T1 - ARTMAP-IC neural networks for predicting insurance policy ownership

AU - Nachev, Anatoli

PY - 2006/1/1

Y1 - 2006/1/1

N2 - 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.

AB - 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.

M3 - Conference Publication

BT - WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS

PB - INT INST INFORMATICS & SYSTEMICS

ER -

ARTMAP-IC neural networks for predicting insurance policy ownership

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

Fingerprint

Cite this