Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining (2018)
Thesis
Knuth, T. Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1256175

A remarkable gap exists between the financial impact of fraud in the B2C e-commerce mail order business and the amount of research conducted in this area — whether it be qualitative or quantitative research about fraud prevention. Projecting publishe... Read More about Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining.

The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome. (2009)
Presentation / Conference Contribution
Penny, K. I., & Smith, G. D. (2009, June). The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome. Presented at Information Technology Interfaces 2009

Data mining trauma injury data with imputed values. (2008)
Presentation / Conference Contribution
Penny, K. I., & Chesney, T. (2008, June). Data mining trauma injury data with imputed values. Presented at First Joint Meeting of the Societe Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society (SFC-CLADAG 2008)

No abstract available.

A comparison of missing value imputation methods for classifying patient outcome following trauma injury. (2008)
Presentation / Conference Contribution
Penny, K. I., & Chesney, T. (2008, June). A comparison of missing value imputation methods for classifying patient outcome following trauma injury. Presented at Information Technology Interfaces 2008

A study is designed to compare several missing value imputation methods to enable classification of patient outcome following trauma injury. The Glasgow coma score is a measure of head injury severity, and is known to be important in determining pati... Read More about A comparison of missing value imputation methods for classifying patient outcome following trauma injury..

Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data? (2008)
Book Chapter
Chesney, T., Penny, K., Oakley, P., Davies, S., Chesney, D., Maffulli, N., & Templeton, J. (2008). Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data?. In J. Wang (Ed.), Data Warehousing and Mining (2915-2927). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch186

Trauma audit is intended to develop effective care for injured patients through process and outcome analysis, and dissemination of results. The system records injury details such as the patient’s sex and age, the mechanism of the injury, various meas... Read More about Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data?.