Academic Staff |
Dr. Siew Eu-Gene
B.Comm (Adelaide), MBusSys (Monash), Ph.D (Monash)
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Dr Siew obtained his PhD from Monash University in 2005 and worked in a teaching institution in Penang before joining the School of Information Technology in 2007.
He has published and presented numerous papers in journals, and international conferences and also written a book chapter. He is a member of the Malaysian Small Medium Enterprise.
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- Accounting Information Systems
- Business Applications of Neural Networks
- Data and Computer Communication
- Commercial Computing
- E-Commerce
- Database
- Web Programming
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My main research interest lies in the area of the application of intelligent techniques.
My other research interests also include data mining and information extraction from web pages.
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Siew, E., Smith, K. A. and Churilov, L. (2002), "A Neural Clustering Approach to Iso-Resource Grouping for Acute Healthcare In Australia", Proceedings of the 35th Annual Hawaii International Conference on Systems Sciences, 7-10 January, Hawaii
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Siew, E., Smith, K. A., Churilov, L., Wassertheil (2002), J. "A Comparison of Supervised and Unsupervised Approaches to Iso-Resource Grouping for Acute Healthcare in Australia", Proceedings of the International Conference on Fuzzy Systems and Knowledge Discovery, 18-22 November, Singapore
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Siew, E. G., Smith, K. A., Churilov, L. and Wassertheil, J. (2004), "A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia”, Classification and Clustering for Knowledge Discovery, Edited by Saman Halgamuge and Lipo Wang, Chapter 21, Springer-Verlag
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Siew, E-G, Churilov, L, Smith, K A & Sturmberg, J. (2004) "Using Data Mining Techniques to Identify Groups of Patients with Different Consultation Satisfaction in General Practice", Proceedings the 6th International Conference on Optimization: Techniques and Applications (ICOTA6 2004), 9-11 December, Ballarat, Australia
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L.Churilov, E-G.Siew, K.Smith, and J.Wassertheil (2005) “Towards Data Driven Acute In-Patient Classification Schemes: a Hospital Management Perspective”, Central European Journal for Operations Research, Vol 13, Issue 4, pp. 365-392.
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- Application of classification and regression trees and self-organising maps in the area of primary health care.
- Classifying the Financial Health of Malaysian Listed Companies Using Data Mining Techniques
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- Information Extraction of structured data records.
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