Publication
Title
Learning a lot from only a little : genetic programming for panel segmentation on sparse sensory evaluation data
Author
Abstract
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based symbolic regression. Its evolved models for each panelist provide a second component with all plausible and uncorrelated explanations of how a panelist rates flavours. The second component bootstraps the data using an ensemble selected from the evolved models, forms a probability density function for each panelist and clusters the panelists into segments that are easy to please, neutral, and hard to please.
Language
English
Source (book)
Proceedings of the 13th European Conference on Genetic Programming, April 7-9, 2010, Istanbul, Turkey
Publication
Berlin : Springer, 2010
ISBN
978-3-642-12147-0
Volume/pages
p. 244-255
ISI
000278827300021
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 23.02.2011
Last edited 12.10.2017
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