Cart (Loading....) | Create Account
Close category search window
 

Visual decision support system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Taniguchi, Y. ; Syst. Dev. Lab., Hitachi Ltd., Osaka, Japan ; Mizuno, H. ; Yajima, H.

This paper describes a visual decision support system that supports marketers in the advertising field. The purpose of this system is to help users estimate the effect of advertising based on the extraction of expert knowledge when there is no fresh data to go on. This system includes the following functions: a) To check the dispersion of data and the behavior of models using 3D plot displays, and b) To make prediction models capable of estimating the effect of advertising using a constrained learning algorithm for neural networks. These functions have each of the following features: a) The ability to easily check the dispersion of data and the behavior of models in the various axes, allowing a marketer to delete unnecessary data in 3D spaces. b) The basic premise that the relationship between the input and output monotonously increases. This system is useful for domains where only deficient data is available like estimating the effect of advertising. Experimental simulations using real data have shown that experts can easily check the dispersion of data and the behavior of models, and have shown that the algorithm makes more reasonable models for estimating the effect of advertising than other conventional algorithms

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.