Staff profile

Dr Sumith Matharage

Position: Casual Academic
Faculty or Division: Faculty of Business and Law
Department: Deakin Business School
Campus: Melbourne Burwood Campus
Phone: +61 3 92446125 +61 3 92446125



  • Doctor of Philosophy, Monash University, 2012


Teaching Interests

  • Data and Information Management
  • Data Mining
  • Business Intelligence and Warehousing
  • Computer Programming

Conferences and seminars

*Hiran Ganegedara, Sumith Matharage and Damminda Alahakoon, 'A Scalable and Dynamic Self-Organizing Map for Clustering Large Volumes of Text Data'. Accepted for Neural Networks (IJCNN), The 2013 International Joint Conference on. IEEE, 2013 *Gunasinghe, Upuli, S. Matharage, and D. Alahakoon. 'A sequence based dynamic SOM model for text clustering.' Neural Networks (IJCNN), The 2012 International Joint Conference on. IEEE, 2012. *Matharage, Sumith, et al. 'Fast growing self-organizing map for text clustering. 'Neural Information Processing. Springer Berlin Heidelberg, 2011.*Matharage, S., et al. 'Analysing Stillbirth Data Using Dynamic Self Organizing Maps.'Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on. IEEE, 2011. *Matharage, Sumith, and Damminda Alahakoon. 'Enhancing GSOM text clustering with Latent Semantic Analysis.'Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on. IEEE, 2010. *Jayasinghe, D., Hettiarachchi, S., Abeywickrama, S., Ketteepearachchi, C., Alahakoon, D., Matharage, S., & Gunasinghe, U. (2010, December). txtKnot-Text clustering based concept hierarchy to generalize from different text sources. In Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference pp 239-243. IEEE. *Matharage, Sumith, Upuli Gunasinghe, and Damminda Alahakoon. 'Growing Self Organizing Map with an Imposed Binary Search Tree for discovering temporal input patterns.'Industrial and Information Systems (ICIIS), 2009 International Conference on. IEEE, 2009.


Research interests

  • Text Mining (Social Media Analysis)
  • Business Analytics and Visualisation

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