Kevin Voges

Dr. Kevin Voges is a Senior Lecturer in Marketing in the Department of Management at the University of Canterbury, New Zealand. He completed a Bachelor’s degree in psychology and philosophy at the University of Tasmania, a Masters and Doctor of Philosophy (Psychology) at Massey University, NZ, and an MBA from the University of Queensland. He has taught research methods in education, psychology and marketing for several decades. His research interest is the application of computational intelligence techniques to business, particularly rough sets theory and evolutionary algorithms. He has also published in sports marketing and marketing communications.

Publications

Cluster Analysis Using Rough Clustering and K-Means Clustering
Cluster Analysis Using Rough Clustering and K-Means Clustering
Kevin E. Voges. © 2015. 7 pages.
Cluster Analysis Using Rough Clustering and k-Means Clustering
Cluster Analysis Using Rough Clustering and k-Means Clustering
Kevin E. Voges. © 2009. 5 pages.
Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. It is of potential interest to managers in Information Science, as it can be...
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 Using Rough Clustering and k-Means Clustering
Cluster Analysis Using Rough Clustering and k-Means Clustering
Kevin E. Voges. © 2005. 4 pages.
Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. The technique is of interest to managers in information science because of...
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...