Flinders University
Dr Carl Mooney
Dr
Carl
Mooney
Flinders University
http://www.flinders.edu.au/people/carl.mooney
| Position/s: | Director of First Year Studies School of Computer Science, Engineering and Mathematics |
| Phone: | +61 8 82013801 |
| Email: | carl.mooney@flinders.edu.au |
| Location: | Information, Science & Technology (358) |
| Postal address: | GPO Box 2100, Adelaide 5001, South Australia |
Teaching
Research and supervision
Research expertise
- Computer software
- Data format
Research interests
My current research is in the area of sequential pattern mining (of linear temporal sequences) and the rules that can be discovered using the basic thirteen temporal interval relations and extensions to include midpoints that were developed as part of my Doctoral Thesis. The visualisation of the these rules also plays an important role and research into how best to represent them is my current focus in this research area.
Further to this, the field of longitudinal or higher-order mining is an ongoing interest.
As a member of the Enterprise Information Technology group my interests and research goals are centred on security both within and outside of the enterprise and the challenges of teaching to large audiences using an on-line platform
Supervisory interests
- Data mining and knowledge discovery
- Information and communication technology (ICT)
RHD research supervision
Current
Associate supervisor:
Educational ICT (7);
Publications
Books
Mooney, C.H. (2009). The discovery of interacting episodes and temporal rule determination?: applications in sequential pattern mining. Saarbrucken, Deutschland: VDM Verlag Dr. Müller.
Book chapters
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2006). A multi-level framework for the analysis of sequential data. In Graham J. Williams and Simeon J. Simoff, ed. Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
Refereed journal articles
Mooney, C. and Roddick, J.F. (2013). Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys, 45(2). [online]. Available from: http://dx.doi.org/10.1145/2431211.2431218.
Roddick, J.F. and Mooney, C.H. (2005). Linear temporal sequences and their interpretation using midpoint relationships. IEEE Transactions on Knowledge and Data Engineering, 17(1), pp.133-135. [online]. Available from: http://dx.doi.org/10.1109/TKDE.2005.12.
Refereed conference papers
Jiranantanagorn, P., Goodwin, R. and Mooney, C.H. (2012). Mobile Learning in Thai Public University: Opportunities & Education. In I Mareels, K Yuan, X He, F Zhang, A Oboler, M Li, J Yong & B Xi, ed. Proceedings of the 7th International Conference on Computer Science & Education. ICCSE 2012. pp. 1653-1657. [online]. Available from: http://dx.doi.org/10.1109/ICCSE.2012.6295381.
Qin, S. and Mooney, C.H. (2009). Using game-oriented projects for teaching and learning software engineering. In Australian Association for Engineering Education 2009 (AAEE09). Australian Association for Engineering Education 2009 (AAEE09). pp. 49-54. [online]. Available from: http://aaee.com.au/conferences/AAEE2009/PDF/AUTHOR/AE090110.PDF.
Mooney, C.H. and Roddick, J.F. (2006). Marking time in sequence mining. In Peter Christen et al., ed. Proceedings of the fifth Australasian conference on Data mining and analystics. Fifth Australasian conference on Data mining and analystics. pp. 129-134. [online]. Available from: http://portal.acm.org/ft_gateway.cfm?id=1273826&type=pdf&coll=GUIDE&dl=GUIDE&CFID=47769085&CFTOKEN=83796921.
Mooney, C.H. and Roddick, J.F. (2004). Mining relationships between interacting episodes. In Proceedings of the Fourth SIAM International Conference on Data Mining. Proceedings of the Fourth SIAM International Conference on Data Mining. [online]. Available from: http://www.siam.org/proceedings/datamining/2004/dm04_001mooneyc.pdf.
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2004). A multi-level framework for the analysis of sequential data. In Simeon J. Simoff and Graham J. Williams, ed. Proceedings of the 3rd Australasian Data Mining Conference. 3rd Australasian Data Mining Conference. pp. 199-213.
Ceglar, A.J., Roddick, J.F., Mooney, C.H. and Calder, P.R. (2003). From rule visualisation to guided knowledge discovery. In Simoff, S. JWilliams, G. JHegland, M, ed. ADMO 3?: Proceedings of the Australasian Data Mining Workshop. Second Australasian Data Mining Workshop (ADM'03). pp. 59-94.
Books
Mooney, C.H. (2009). The discovery of interacting episodes and temporal rule determination?: applications in sequential pattern mining. Saarbrucken, Deutschland: VDM Verlag Dr. Müller.
Book chapters
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2006). A multi-level framework for the analysis of sequential data. In Graham J. Williams and Simeon J. Simoff, ed. Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.
Refereed journal articles
Mooney, C. and Roddick, J.F. (2013). Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys, 45(2). [online]. Available from: http://dx.doi.org/10.1145/2431211.2431218.
Roddick, J.F. and Mooney, C.H. (2005). Linear temporal sequences and their interpretation using midpoint relationships. IEEE Transactions on Knowledge and Data Engineering, 17(1), pp.133-135. [online]. Available from: http://dx.doi.org/10.1109/TKDE.2005.12.
Refereed conference papers
Jiranantanagorn, P., Goodwin, R. and Mooney, C.H. (2012). Mobile Learning in Thai Public University: Opportunities & Education. In I Mareels, K Yuan, X He, F Zhang, A Oboler, M Li, J Yong & B Xi, ed. Proceedings of the 7th International Conference on Computer Science & Education. ICCSE 2012. pp. 1653-1657. [online]. Available from: http://dx.doi.org/10.1109/ICCSE.2012.6295381.
Qin, S. and Mooney, C.H. (2009). Using game-oriented projects for teaching and learning software engineering. In Australian Association for Engineering Education 2009 (AAEE09). Australian Association for Engineering Education 2009 (AAEE09). pp. 49-54. [online]. Available from: http://aaee.com.au/conferences/AAEE2009/PDF/AUTHOR/AE090110.PDF.
Mooney, C.H. and Roddick, J.F. (2006). Marking time in sequence mining. In Peter Christen et al., ed. Proceedings of the fifth Australasian conference on Data mining and analystics. Fifth Australasian conference on Data mining and analystics. pp. 129-134. [online]. Available from: http://portal.acm.org/ft_gateway.cfm?id=1273826&type=pdf&coll=GUIDE&dl=GUIDE&CFID=47769085&CFTOKEN=83796921.
Mooney, C.H., De Vries, D.B. and Roddick, J.F. (2004). A multi-level framework for the analysis of sequential data. In Simeon J. Simoff and Graham J. Williams, ed. Proceedings of the 3rd Australasian Data Mining Conference. 3rd Australasian Data Mining Conference. pp. 199-213.
Mooney, C.H. and Roddick, J.F. (2004). Mining relationships between interacting episodes. In Proceedings of the Fourth SIAM International Conference on Data Mining. Proceedings of the Fourth SIAM International Conference on Data Mining. [online]. Available from: http://www.siam.org/proceedings/datamining/2004/dm04_001mooneyc.pdf.
Ceglar, A.J., Roddick, J.F., Mooney, C.H. and Calder, P.R. (2003). From rule visualisation to guided knowledge discovery. In Simoff, S. JWilliams, G. JHegland, M, ed. ADMO 3?: Proceedings of the Australasian Data Mining Workshop. Second Australasian Data Mining Workshop (ADM'03). pp. 59-94.
Mooney, C.H. and Roddick, J.F. (2002). Mining itemsets - An approach to longitudinal and incremental association rule mining. In Zanasi, A, ed. Data Mining III. Third International Conference on Data Mining Methods and Databases. pp. 93-102.
Professional and community engagement
My professional interests include teaching with Assoc. Prof Paul Calder at the Australian Science and Mathematics School and membership of the ACM.
