Dr Carl Mooney

Phone: +61 8 82013801
Email:
Location: Information, Science & Technology (358)
Postal address: GPO Box 2100, Adelaide 5001, South Australia

Teaching

Topic Coordinator:

Topic Lecturer:

  • STAT2700  Applied Statistics Laboratory

Research and consultancy

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

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., & Roddick, J.F., 2006. A multi-level framework for the analysis of sequential data. In Data Mining: Theory, Methodology, Techniques and Applications. Heidelberg, Germany: Springer, pp. 229-243.

Refereed journal articles

Mooney, C.H. & Roddick, J.F., 2012. Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys.

Roddick, J.F. & Mooney, C.H., 2005. Linear temporal sequences and their interpretation using midpoint relationships. IEEE Transactions on Knowledge and Data Engineering, 17(1), 133-135.

Refereed conference papers

Qin, S. & Mooney, C.H., 2009. Using game-oriented projects for teaching and learning software engineering. Australian Association for Engineering Education 2009 (AAEE09), 49-54.

Mooney, C.H. & Roddick, J.F., 2006. Marking time in sequence mining. Proceedings of the fifth Australasian conference on Data mining and analystics, 61, 129-134.

Mooney, C.H., de Vries, D.B., & Roddick, J.F., 2004. A multi-level framework for the analysis of sequential data. Proceedings of the 3rd Australasian Data Mining Conference, 199-213.

Mooney, C.H. & Roddick, J.F., 2004. Mining relationships between interacting episodes. Proceedings of the Fourth SIAM International Conference on Data Mining.

Ceglar, A.J., Roddick, J.F., Mooney, C.H., & Calder, P.R., 2003. From rule visualisation to guided knowledge discovery. ADMO 3 : Proceedings of the Australasian Data Mining Workshop, 59-94.

Mooney, C.H. & Roddick, J.F., 2002. Mining itemsets - An approach to longitudinal and incremental association rule mining. Data Mining III, 6, 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.



inspiring achievement