A TWO-STAGED APPROACH FOR ASSESSING FOR THE QUALITY OF INTERNET SURVEY DATA

Chun-Hung Cheng, Chon-Huat Goh, Anita Lee-Post

2007

Abstract

In this work, we propose to develop a procedure to detect errors in data collected through Internet surveys. Although several approaches have been developed, they suffer many limitations. For instance, many approaches require prior knowledge of data and hence they need different procedures for different applications. Others have to test a large number of parameter values and hence they are not very efficient. To develop a procedure to overcome the limitations of existing approaches, we try to understand the nature of this quality problem and establish its linkage to travelling salesman problem (TSP). Based on the TSP problem structure, we propose to develop a two-staged approach based on a genetic algorithm to help ensure the quality of Internet survey data.

Paper Citation

in Harvard Style

Cheng C., Goh C. and Lee-Post A. (2007). A TWO-STAGED APPROACH FOR ASSESSING FOR THE QUALITY OF INTERNET SURVEY DATA . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST, ISBN 978-972-8865-79-5, pages 77-83. DOI: 10.5220/0001264200770083

in Bibtex Style

@conference{webist07,
author={Chun-Hung Cheng and Chon-Huat Goh and Anita Lee-Post},
title={A TWO-STAGED APPROACH FOR ASSESSING FOR THE QUALITY OF INTERNET SURVEY DATA},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,},
year={2007},
pages={77-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001264200770083},
isbn={978-972-8865-79-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,
TI - A TWO-STAGED APPROACH FOR ASSESSING FOR THE QUALITY OF INTERNET SURVEY DATA
SN - 978-972-8865-79-5
AU - Cheng C.
AU - Goh C.
AU - Lee-Post A.
PY - 2007
SP - 77
EP - 83
DO - 10.5220/0001264200770083