Nigel Pope

Nigel K. Ll. Pope took his undergraduate degree in politics and Anglo-Saxon literature at the University of Queensland. He later took his MBA from the University of Central Queensland and his doctorate from Griffith University, specializing in sport sponsorship. His research has appeared in the Journal of Advertising, European Journal of Marketing and Sport Marketing Quarterly amongst other publications. His current interests are in digitization of entertainment and the structural foundations of the entertainment industry. He is currently an Associate Professor with Griffith Business School.

Publications

Digital Sport for Performance Enhancement and Competitive Evolution: Intelligent Gaming Technologies
Digital Sport for Performance Enhancement and Competitive Evolution: Intelligent Gaming Technologies
Nigel Pope, Kerri-Ann L. Kuhn, John J.H. Forster. © 2009. 414 pages.
An unacknowledged, global phenomenon in the sphere of computer applications, digital sport, plays an enormous part in training and performance enhancement. Digital Sport for...
Schemas of Disrepute: Digital Damage to the Code
Schemas of Disrepute: Digital Damage to the Code
Ellen L. Bloxsome, Nigel K. Ll. Pope. © 2009. 16 pages.
This chapter presents marketers, sporting management and sports organizations with a technique for analyzing consumer schemas associated with athletes. Correspondence analysis is...
Algorithms for Data Mining
Algorithms for Data Mining
Tadao Takaoka, Nigel K.L. Pope, Kevin E. Voges. © 2008. 19 pages.
In this chapter, we present an overview of some common data mining algorithms. Two techniques are considered in detail. The first is association rules, a fundamental approach...
Computational Intelligence Applications in Business: A Cross-Section of the Field
Computational Intelligence Applications in Business: A Cross-Section of the Field
Kevin E. Voges, Nigel K. Ll. Pope. © 2008. 15 pages.
We present an overview of the literature relating to computational intelligence (also commonly called artificial intelligence) and business applications, particularly the...
Business Applications and Computational Intelligence
Business Applications and Computational Intelligence
Kevin Voges, Nigel Pope. © 2006. 481 pages.
Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have...
Computational Intelligence Applications in Business: A Cross-Section of the Field
Computational Intelligence Applications in Business: A Cross-Section of the Field
Kevin E. Voges, Nigel K.L. Pope. © 2006. 18 pages.
We present an overview of the literature relating to computational intelligence (also commonly called artificial intelligence) and business applications, particularly the...
Algorithms for Data Mining
Algorithms for Data Mining
Tadao Takaoka, Nigel K.L. Pope, Kevin E. Voges. © 2006. 25 pages.
In this chapter, we present an overview of some common data mining algorithms. Two techniques are considered in detail. The first is association rules, a fundamental approach...
Ankle Bones, Rogues, and Sexual Freedom for Women: Computational Intelligence in Historical Context
Ankle Bones, Rogues, and Sexual Freedom for Women: Computational Intelligence in Historical Context
Nigel K.L. Pope, Kevin E. Voges. © 2006. 8 pages.
In this chapter we review the history of mathematics-based approaches to problem solving. The authors suggest that while the ability of analysts to deal with the extremes of data...
Cluster Analysis of Marketing Data Examining On-line Shopping Orientation: A Comparison of K-Means and Rough Clustering Approaches
Cluster Analysis of Marketing Data Examining On-line Shopping Orientation: A Comparison of K-Means and Rough Clustering Approaches
Kevin E. Voges, Nigel K.L. Pope, Mark R. Brown. © 2002. 18 pages.
Cluster analysis is a common market segmentation technique, usually using k-means clustering. Techniques based on developments in computational intelligence are increasingly...