Dr Carl Mooney

Position/s:Director of First Year Studies
School of Computer Science, Engineering and Mathematics
Phone: -
Email:
Location: - (-)
Postal address: GPO Box 2100, Adelaide 5001, South Australia

Teaching

Topic Coordinator:

Topic Lecturer:

  • STAT2700  Applied Statistics Laboratory

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
  • Jirannantanagorn, P., Goodwin, R. and Mooney, C. (2013). A Proposed Mobile Learning System for Thai Public Universities. ICITA,
  • Mooney, C. and Roddick, J.F. (2013). Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys, 45(2) pp. 19. [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. [doi: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. New York, USA: IEEE. ICCSE 2012. Melbourne. Jul 2012, pp. 1653-1657. [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) Adelaide, South Australia, Australia: The School of Mechanical Engineering, The University of Adelaide. Australian Association for Engineering Education 2009 (AAEE09) Adelaide, SA. Dec 2009, pp. 49-54. [Link]
  • 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. Sydney, NSW: Australian Computer Society. Fifth Australasian conference on Data mining and analystics. Sydney, NSW. Nov 2006, pp. 129-134. [Link]
  • 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. Sydney, NSW: UTS. 3rd Australasian Data Mining Conference. Cairns, NT, 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. Orlando, USA: SIAM. Proceedings of the Fourth SIAM International Conference on Data Mining. Orlando, USA. [Link]

Show all 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
  • Jirannantanagorn, P., Goodwin, R. and Mooney, C. (2013). A Proposed Mobile Learning System for Thai Public Universities. ICITA,
  • Mooney, C. and Roddick, J.F. (2013). Sequential Pattern Mining - Approaches and Algorithms. ACM Computing Surveys, 45(2) pp. 19. [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. [doi: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. New York, USA: IEEE. ICCSE 2012. Melbourne. Jul 2012, pp. 1653-1657. [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) Adelaide, South Australia, Australia: The School of Mechanical Engineering, The University of Adelaide. Australian Association for Engineering Education 2009 (AAEE09) Adelaide, SA. Dec 2009, pp. 49-54. [Link]
  • 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. Sydney, NSW: Australian Computer Society. Fifth Australasian conference on Data mining and analystics. Sydney, NSW. Nov 2006, pp. 129-134. [Link]
  • Mooney, C.H. and Roddick, J.F. (2004). Mining relationships between interacting episodes. In Proceedings of the Fourth SIAM International Conference on Data Mining. Orlando, USA: SIAM. Proceedings of the Fourth SIAM International Conference on Data Mining. Orlando, USA. [Link]
  • 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. Sydney, NSW: UTS. 3rd Australasian Data Mining Conference. Cairns, NT, 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. Sydney, NSW: University of Technology, Sydney. Second Australasian Data Mining Workshop (ADM'03) Canberra, ACT. Dec 2003, 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. Bath, UK: WIT PRESS. Third International Conference on Data Mining Methods and Databases. Bologna, Italy. Sep 2002, pp. 93-102. [doi:10.2495/DATA020101]

Show selected publications

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