IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Data Mining Approach using geographic Information systems Data for predicting Voting Behavior in the presidential election of 2004

A Data Mining Approach using geographic Information systems Data for predicting Voting Behavior in the presidential election of 2004
View Free PDF
Author(s): Hamid Nemati (UNCG, USA), Ian Andrew (UNCG, USA) and Peter Amidon (UNCG, USA)
Copyright: 2007
Pages: 106
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch391
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

Throughout the last few decades, the state of North Carolina has voted to put both Republicans and Democrats in elected positions. The election of 2004 was no exception. North Carolina voted for a Republican president and a Democratic governor. This research seeks to understand the reasons for this voting pattern by focusing on one the largest counties in North Carolina, Guilford County. Guilford County was used for this study since it was one of the few counties in North Carolina that votes democratic. This research is an attempt to discover pattern and insight on voting habits based on the demographics of homeowners, house values and the age of property. This research will be beneficial not only to political parties but also to the citizens of Guilford County who want to see the data and unique comparisons between voting records and housing information

Body Bottom