Dr Susan Bedingfield - Researcher Profile

Biography

Susan works in the Faculty of Information Technology at Monash University as a Senior Lecturer.

 

Keywords

Neural, Evolutionary and Fuzzy Computation, Pattern Recognition and Data Mining, Policy and Administration - Health Policy

Qualifications

DOCTOR OF PHILOSOPHY

Institution: Monash University

Year awarded: 2010

GRADUATE DIPLOMA IN OPERATIONS RESEARCH

Institution: Monash University

Year awarded: 1987

MASTER OF SCIENCE

Institution: Monash University

Year awarded: 1979

BACHELOR OF SCIENCE (HONOURS)

Institution: Monash University

Year awarded: 1974

Publications

Book Chapters

Becker, R., Lee, V.C., Bedingfield, S.E., 2004, A hybrid decision tree and neural network technique for enhancing knowledge discovery from incomplete survey data, in Intelligent Engineering Systems Through Artificial Neural Networks, eds Cihan H Dagli, Anna L Bucsak, David L Enke, Mark J Embrechts and Okan Ersoy, ASME Press, New York USA, pp. 477-482.

Bedingfield, S.E., Smith, K.A., 2003, Evolutionary rule generation and its application to credit scoring, in Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition, eds Leon Reznik and Vladik Kreinovich, Springer-Verlag, Berlin Germany, pp. 262-276.

Bedingfield, S.E., Smith, K.A., 2000, A Comparison of Fitness Functions for Evolutionary Rule Generation, in Advances in Intelligent Systems Theory and Applications, IOS Press, Amsterdam Netherlands, pp. 102-109.

Journal Articles

Zhang, J., Borland, R., Coghill, K., Petrovic-Lazarevic, S., Young, D., Yeh, C., Bedingfield, S., 2011, Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network, Expert Systems with Applications [P], vol 38, issue 6, Pergamon, Oxford UK, pp. 6430-6438.

Ding, X., Bedingfield, S.E., Yeh, C., Borland, R., Young, D., Zhang, J.Y., Petrovic-Lazarevic, S., Coghill, K.A., 2008, A decision tree approach for predicting smokers' quit intentions, Journal of Electronic Science and Technology of China, vol 6, issue 3, The Editorial Board of Journal of University of Electronic Science and Technology of China, Chengdu China, pp. 284-288.

Young, D., Borland, R., Zhang, J.Y., Coghill, K.A., Yeh, C., Petrovic-Lazarevic, S., Bedingfield, S.E., 2008, Innovation in tobacco control: Managing a global network with no central control, Asia Pacific Management Review, vol 13, issue 1, National Cheng Kung University, College of Management, Taiwan Republic of China, pp. 373-387.

Conference Proceedings

Fonseka, W.P.A., Alahakoon, L.D., Bedingfield, S.E., 2011, GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data, Proceedings of the 2011 IEEE Symposium on Computational Intelligence and Data Mining, 11 April 2011 to 15 April 2011, IEEE, Piscataway NJ USA, pp. 232-238.

Ding, X., Yeh, C., Bedingfield, S.E., 2010, A probabilistic neural network approach to modeling the impact of tobacco control policies by gender, Advances in Neural Network Research and Applications: Partial Proceedings of the Seventh International Symposium on Neural Networks, 6 June 2010 to 9 June 2010, Springer-Verlag, Berlin Germany, pp. 869-876.

Ding, X., Bedingfield, S.E., Yeh, C., Borland, R., Young, D., Petrovic-Lazarevic, S., Coghill, K.A., 2009, Identifying tobacco control policy drivers: A neural network approach, Proceedings of the 16th International Conference on Neural Information Processing, Part II (ICONIP 2009), 1 December 2009 to 5 December 2009, Springer-Verlag, Berlin Germany, pp. 770-776.

Ding, X., Bedingfield, S.E., Yeh, C., Petrovic-Lazarevic, S., Coghill, K.A., Zhang, J.Y., Borland, R., Young, D., 2008, A rule based approach to modelling the effect of tobacco control policies, Proceedings of the 2008 Fourth International Conference on Information and Automation for Sustainability, 12 December 2008 to 14 December 2008, IEEE, Los Alamitos CA USA, pp. 496-501.

Yun, C., Ding, X., Bedingfield, S.E., Yeh, C., Borland, R., Young, D., Petrovic-Lazarevic, S., Coghill, K.A., Zhang, J.Y., 2008, Performance evaluation of intelligent prediction models on smokers' quitting behaviour, Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2008), 2 November 2008 to 5 November 2008, Springer-Verlag, Berlin Germany, pp. 210-216.

Zhang, J.Y., Young, D., Coghill, K.A., Petrovic-Lazarevic, S., Borland, R., Yeh, C., Bedingfield, S.E., 2007, A new theoretical framework for modelling and analysing complex tobacco control systems, Readings Book - Achieving Competitive Advantage through Managing Global Resources, 03 July 2007 to 07 July 2007, Global Business and Technology Association and EBSCO Publishing, USA, pp. 811-817.

Zhang, J.Y., Young, D., Borland, R., Coghill, K.A., Yeh, C., Petrovic-Lazarevic, S., Bedingfield, S.E., 2007, Investigating successes and failures of tobacco control instruments, Proceedings of the 13th Asia Pacific Management Conference - Managing Transitions in the Asia Pacific: Globalization and Localization, 18 November 2007 to 20 November 2007, Monash University, Centre for Decision Support and Enterprise Systems Research, http://www.infotech.monash.edu.au/research/centres/cdsesr/apmc/proceedings.html, pp. 270-279.

Bedingfield, S.E., Smith-Miles, K., 2006, Two stage partial classification for inconsistent and imbalanced classes, Proceedings of the 2nd International Conference on Information and Automation 2006, 14 December 2006 to 17 December 2006, Faculty of Engineering, University of Moratuwa, Colombo Sri Lanka, pp. 167-171.

Bedingfield, S.E., Smith, K.A., 2004, An optimisation methodology for multi parameter heuristics, Proceedings IEEE 4th International Conference on Intelligent Systems Design and Application, 26 August 2004 to 28 August 2004, Attila L. Bencsik, Budapest Hungary, pp. 457-460.

Bedingfield, S.E., Smith, K.A., 2003, Evolutionary rule generation classification and its application to multi-class data, Proceedings of the International Conference on Computational Science (ICCS 2003), 2 June 2003 to 4 June 2004, Springer-Verlag, New York USA, pp. 868-876.

Bedingfield, S.E., Smith, K.A., 2003, Predicting bad credit risk: an evolutionary approach, Proceedings of the Joint International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP 2003), 26 June 2003 to 29 June 2003, Springer-Verlag, New York USA, pp. 1081-1088.

Bedingfield, S.E., Smith, K.A., 1999, Evolutionary Rule Generation in an Information System, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining & Complex Systems, St Louis USA November, ASME Press, New York NY USA, pp. 485-491.

Huxford, S.B., Bedingfield, S.E., Cheung, Y.P., 1998, Co-Evolution of Market Place Participants Subject to a Multinomial Logit Market Share Model, International Conference on Computational Intelligence and Muldimedia Applications 1998, Monash Gippsland 9-11 February 1998, World Scientific Publishing Co., Singapore, pp. 537-542.

Cheung, Y.P., Bedingfield, S.E., Huxford, S.B., 1997, Monitoring and Interpreting Evolved Behaviours in an Oligopoly, Proceedings of the IEEE Conference on Evolutionary Computation, Indianapolis, April 13-16, IEEE, New Jersey USA, pp. 692-701.

Bedingfield, S.E., Huxford, S.B., Cheung, Y.P., 1997, Simulating Pricing Behaviours Using a Genetic Algorithm, Lecture Notes in Computer Science, Manchester, April 7-11th, Springer Verlag, London UK, pp. 43-46.

Teaching Commitment

Dr Sue Bedingfield is the Chief Examiner for the following units in the Faculty of IT:

• FIT1013 - IT for business
• FIT2013 - e-Business software technologies
• FIT2032 - Industry-based learning
• FIT3045 - Industry-based learning
• FIT9004 - Computer programming for business

In 2011, Dr Bedingfield is teaching the following units:

 

• FIT1013 - IT for business
• FIT2013 - e-Business software technologies
• FIT2032 - Industry-based learning
• FIT3045 - Industry-based learning
• FIT9004 - Computer programming for business

 

Postgraduate Research Supervisions

Current Supervision

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

An integrated information technology system in global logistics.

Supervisors:

Yeh, C (Main), Bedingfield, S (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Extracting Semantics from Text: A Dynamic Self Organizing Map based Approach.

Supervisors:

Bedingfield, S (Main), Alahakoon, L (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Intelligent multiattribute decision making models for supply chain management.

Supervisors:

Yeh, C (Main), Bedingfield, S (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Sparse Representations for Document Clustering.

Supervisors:

Alahakoon, L (Main), Bedingfield, S (Associate).

Completed Supervision

Student:

Ding, X.

Program of Study:

An intelligent model based analysis of tobacco control policies. (PHD) 2011.

Supervisors:

Yeh, C (Main), Bedingfield, S (Associate).

Student:

Dutta, A.

Program of Study:

A Hybrid Data Mining System for Market Basket Analysis. (Masters) 2000.

Supervisors:

Bedingfield, S (Main).

Student:

Keong, S.

Program of Study:

Access Control in an XML Environment. (Masters) 2005.

Supervisors:

Huxford, S (Main), Bedingfield, S (Associate).

Student:

Xu, Y.

Program of Study:

Objectives-oriented optimisation-based planning and management of decision alternatives. (PHD) 2011.

Supervisors:

Yeh, C (Main), Bedingfield, S (Associate).

Student:

Yun, C.

Program of Study:

Intelligent Prediction Models and Their Application to Quitting Behaviours of Smokers and Popularity of Motion Pictures. (Masters) 2009.

Supervisors:

Yeh, C (Main), Bedingfield, S (Associate).