Staff profile
Dr Catherine Wang
Lecturer
Faculty of Business, Economics and Law
La Trobe Business SchoolDepartment of Management
Donald Whitehead Building - Room 216, Melbourne (Bundoora)
- T: +61 3 9479 1340
- F: +61 3 9479 5971
- E: c.wang@latrobe.edu.au
Qualifications
B.Sc.; M.Bsys.; PhD.
Area of study
Management Information Systems
Research specialisation
- Data mining; pattern recognition
Teaching Units
- BUS2BAD
- BUS5BID
- BUS5BPD
- BUS5BPI
Recent Publications
- X. Wang, K. Smith-Miles, and R. Hyndman, Rule induction for Forecasting Method Selection: Meta-learning the Characteristics of Univariate Time Series", Neurocomputing, Elsevier Science, 2008 (in press).
- X. Wang, L. Wang, and A. Wirth, Pattern Discovery in Motion Time Series via Structure- based Spectral Clustering", IEEE Computer Society on Computer Vision and Pattern Recognition (CVPR), 2008.
- L. Wang, X. Wang, C. Leckie, and R. Kotagiri, Characteristic-based Descriptors for Motion Sequence Recognition", The Paci c-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 369-380, 2008.
- L. Wang, C. Leckie, X. Wang , J. Bezdek, and R. Kotagiri, Tensor Space Learning for Analyzing Activity Patterns from Video Sequences", the 7th IEEE International Conference on Data Mining, Workshop on Knowledge Discovery and Data Mining from Multimedia Data and Multimedia Applications (ICDM-KDM), pp. 63-68, 2007.
- X. Wang, Feature-based Clustering for Multivariate Time Series", Proceedings of the INFORMS annual meeting, Seattle, 2007.
- X. Wang, A. Wirth, and L. Wang, Structure-based Statistical Features and Multivariate Time Series Clustering", Proceedings of the 7th IEEE International Conference on Data Mining (ICDM), pp. 351-360, 2007.
- X. Wang, K. Smith, and R. Hyndman, Characteristic-based Clustering for Time Series Data", Journal of Data Mining and Knowledge Discovery, Springer, 13(3), pp. 335-364, 2006.
- X.Wang, Characteristic-based Forecasting for Time Series Data", PhD thesis, Monash University, 2005. (awarded Mollie Holman Doctoral Medal for Best PhD Thesis)
- X. Wang, A. Abraham, and K. Smith, Intelligent Web Traffic Mining and Analysis", Journal of Network and Computer Applications, Elsevier Science, 28 (2), pp. 147-165, 2005.
- X. Wang, K. Smith, and R. Hyndman, Dimension Reduction for Clustering Time Series using Global Characteristics", Lecture Notes in Computer Science, Springer-Verlag, vol. 3516, pp. 792- 795, 2005.
- X. Wang, D. Alahakoon, and K. Smith, Improved Web Searching through Neural Network based Index Generation", Lecture Notes in Computer Science, Springer-Verlag, vol. 2659, Part III, pp. 151-158, 2003.
- X. Wang and K. Smith, Clustering Web User Interests using Self Organising Maps", Soft Com puting Systems: Design, Management and Applications, IOS Press Amsterdam, pp. 843-852, 2002


