Faculty of Science and Technology

Richard Dazeley - Research

Current research projects/students

  • RCSF funded - integration of geographic boundaries
  • CRN funded – RL based evolutionary approach to MOO problems
  • Mapal – Text mining customer needs
  • NBA – Supporting aged care nursing staff
  • Ather Saeed (PhD)
  • Adam Bignold (Honours)

Publications/conferences

  1. Layton, R., Watters, P., and Dazeley, R. (2013) Authorship analysis of aliases: Does topic influence accuracy?, Natural Language Engineering, Cambridge University Press, doi:10.1017/S1351324913000272
  2. Diederik. R., Vamplew. P., Whiteson. S., and Dazeley, R., (2013) A Survey of Multi-Objective Sequential Decision-Making, Journal of Artificial Intelligence Research. Vol 48, n.1, Pages 67-113
  3. Layton, R., Watters, P., and Dazeley, R. (2013) Automated Unsupervised Authorship Analysis Using Evidence Accumulation Clustering, Natural Language Engineering, Cambridge University Press, Volume 19 (1) pp 95-120, doi:10.1017/S1351324911000313
  4. Layton, R., Watters, P., and Dazeley, R. (2012) Evaluation Authorship Distance Methods using the Positive Silhouette Coefficient, Natural Language Engineering, Cambridge University Press, vol. 19 (4): 517-535 DOI: http://dx.doi.org/10.1017/S1351324912000241
  5. Saeed, A., Stranieri, A., and Dazeley, R., (2012) Fault-Tolerant Energy-Efficient Priority-Based Routing Scheme for the Multisink Healthcare Sensor Networks, ISRN Sensor Networks, vol. 2012, Article ID 196590, 11 pages, 2012. doi:10.5402/2012/196590
  6. Layton, R., Watters, P., Dazeley, R. (2011) The effect of topic on alias matching for online communications. Natural Language Engineering 1(1), 1-26
  7. Dazeley, R., Park, S. S. and Kang, B. H. (2011) Online Knowledge Validation with Prudence Analysis in a Document Management Application, Expert Systems With Applications, Elsevier. Vol.38, no.9 (2011), p.10959-10965
  8. Layton, R., Watters, P., and Dazeley, R. (2011) Recentred Local Profiles for Authorship Attribution, Natural Language Engineering, Cambridge University, Vol. 18 (3): 293-312, doi:10.1017/S1351324911000180
  9. Vamplew, P., Dazeley, R., Berry, A., Issabekov, R. and Dekkar, E. (2011) Empirical Evaluation Methods for Multiobjective reinforcement Learning Algorithms, Journal of Machine Learning, Special Issue on Empirical Evaluations in Reinforcement Learning, Eds. Whiteson, S. and Littman, M., Springer, Volume 84, Numbers 1-2, 51-80
  10. Watters, P., Layton., R. and Dazeley, R. (2011) How much material on BitTorrent is infringing content? A case study, Information Security Technical Report (ISTR), Elsevier, Vol 16(2), p79-87.
  11. Dazeley, R., Kelarev, A., Yearwood, J., Mammadov, M., (2009) Optimization of Multiple Classifiers in Data Mining Based on String Rewriting Systems, Asian-European Journal of Mathematics, World Scientific Publishing Company, Vol 2, No 1, 41 - 56.
  12. Dazeley, R., and Kang, B. H., (2008) Epistemological Approach to the Process of Practice, Journal of Minds and Machines, Springer Science+Business Media B.V., 18: 547-567.
  13. Dazeley, R. (2001) J is for JPEG: Baseline JPEG compression of Windows Bitmaps using J, Vector, 18(1) 103-124.
  14. Kelarev, A.V., Brown S., P Watters., Wu X. and Dazeley R. (2011) Establishing reasoning communities of security experts for internet commerce security, Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches, Eds Yearwood, J. and Stranieri, A., Advances in ECollaboration Book Series (AECOB), Information Science Reference (IGI Global Publishers), Hershey, ISBN13: 9781609600914 ISBN10: 1609600916.
  15. Dazeley, R., and Kang, B. H., (2009) Generalising Symbolic Knowledge in Online Classification and Prediction, Knowledge Acquisition: Approaches, Algorithms and Applications, Eds Richards, D., Kang, B. H. Lecture Notes in Computer Science, Springer, Berlin, 5465: 91-108
  16. Stranieri, A., Klein, B., Clinnick, L., Chesler, J., Bignold, A., Balasubramanian, V., Dazeley, R. and McLaren, S., (2014), Supporting Aged Care Nursing Staff to Manage Behavioural and Psychological Symptoms of Dementia: Ripple Down Rules for Individualised Care., Australia's Health Informatics Conference (HIC2014) (Submitted)
  17. Saeed, A., Stranieri, A., and Dazeley, R., (2013) Real-time elfstabilizing scheme for the localization of faults in wireless sensor networks, in The 9th WSEAS International Conference on Remote Sensing (REMOTE '13) 10-12 December, pp 233-242, Budapest, Hungary.
  18. Saeed, A., Stranieri, A., and Dazeley, R., Karagiannid, V., (2013) Fault tolerant congestion control scheme for the acquisition of datasets in healthcare wireless sensor networks, in The 9th WSEAS International Conference on Remote Sensing (REMOTE '13) 10-12 December, pp 133-142, Budapest, Hungary.
  19. Saeed, A., Stranieri, A., and Dazeley, R., (2013) Energy-efficient priority based routing scheme for the healthcare wireless sensor networks, in The 9th WSEAS International Conference on Remote Sensing (REMOTE '13) 10-12 December, pp 19-27, Budapest, Hungary.
  20. Maruatona, O. O., Vamplew, P.W., and Dazeley, R. P., (2012) Prudent Fraud Detection in Internet Banking, 3rd Cybercrime and Trustworthy Computing Workshop (CTC 2012) 29-30 Oct, 2012 pages 60-65, 10.1109/CTC.2012.13
  21. Layton, R., Watters, P. and Dazeley, R., (2012) Unsupervised Authorship Analysis of Phishing Webpages, The 12th International Symposium on Communications & Information Technologies (ISCIT 2012), pp 1104 - 1109, 10.1109/ISCIT.2012.6380857
  22. Maruatona, O. O., Vamplew, P.W., and Dazeley, R. P., (2012) RM and RDM, a Preliminary Evaluation of two Prudent RDR Techniques, 12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012), pp 188-194, 10.1007/978-3-642-32541-0_16
  23. Kelarev, A.V., Dazeley, R., Stranieri, A., Yearwood, J.L, and Jelinek, H.F.. (2012) Detection of CAN by Ensemble Classifiers based on Ripple Down Rules, 12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012), pp 147-159, DOI: 10.1007/978-3-642-32541-0_13
  24. Saeed, A., Stranieri, A., and Dazeley, R., (2011) Fault-tolerant Data Aggregation Scheme for Monitoring of Critical Events in Grid based Healthcare Sensor Networks, in The 19th High Performance Computing Symposium (HPC 2011), Boston, USA.
  25. Dazeley, R., Warner, P., Johnson, S. and Vamplew, P. (2010) The Ballarat Incremental Knowledge Engine, In the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), Kang, B. And Richards, D (eds). Lecture Notes in Artificial Intelligence (LNAI) 6232, Springer, pp 195 -207.
  26. Dazeley, R., Yearwood, J. L., Kang, B. H. and Kelarev, A. V. (2010) Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security, In the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), Kang, B. And Richards, D (eds). Lecture Notes in Artificial Intelligence (LNAI) 6232, Springer, pp 235 -246.
  27. Layton, R., Watters, P. and Dazeley, R. (2010) Authorship Attribution for Twitter in 140 characters or less, 2nd Cybercrime and Trustworthy Computing Workshop (CTC-2010)
  28. Layton, R., Watters, P. and Dazeley, R. (2010) Automatically Determining Phishing Campaigns using the USCAP Methodology, In the eCrime Researchers Summit (eCRS-2010)
  29. Vamplew, P., Dazeley, R., Barker, E., and Kelarev, A., (2009) Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks, in The 22nd Australasian Joint Conference on Artificial Intelligence (AI09)
  30. Saeed, A., Stranieri, A., Dazeley, R. and Ma, L., (2009) Grid-Based Information Retrieval Solution for the Aggregation of Legal Datasets in ODR, in The Second SIWN Congress -SIWN 2009, Leipzig, Germany.
  31. Dazeley, R., and Kang, B., (2008) Detecting the Knowledge Boundary with Prudence Analysis, in 21st Australasian Joint Conference on Artificial Intelligence - AI-08 Auckland, New Zealand, Springer LNAI 5360, pp 482 - 488.
  32. Dazeley, R., and Kang, B., (2008) An Approach for Generalising Symbolic Knowledge, in 21st Australasian Joint Conference on Artificial Intelligence - AI-08 Auckland, New Zealand, Springer LNAI 5360, pp 379 - 385.
  33. Vamplew, P.W, Yearwood, J., Dazeley, R., and Berry, A., (2008) On the Limitations of Scalarisation for Multi-Objective Reinforcement Learning of Pareto Fronts, in 21st Australasian Joint Conference on Artificial Intelligence - AI-08 Auckland, New Zealand, Springer LNAI 5360, pp 372 - 378.
  34. Dazeley, R., (2008) An Expert System Methodology for SMEs and NPOs, in 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support - ACKMIDS08.
  35. Dazeley, R., and Kang, B., (2008) Generalisation with Symbolic Knowledge in Online Classification, in The 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam.
  36. Dazeley, R., and Kang, B., (2008) Prediction using a Symbolic Based Hybrid System, in The 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam.
  37. Dazeley, R., and Kang, B., (2008) The Viability of Prudence Analysis, in The 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam.
  38. Saeed, A., Stranieri, A., and Dazeley, R. (2008) Scalable Continuous Query Architecture for eCommerce and Legal Disputes, in SIWN International Conference on Adaptive Business Systems, (2008).
  39. Dazeley, R. and B. H. Kang (2004) An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases. In AISAT 2004: International Conference on Artificial Intelligence in Science and Technology. Hobart, Australia. (2004) 114-119.
  40. Dazeley, R. and B. H. Kang (2004) Detecting the Knowledge Frontier: An Error Predicting Knowledge Based System. in PKAW04: Pacific Rim Knowledge Acquisition Workshop. Auckland, New Zealand: Springer. (2004) 241-253 R. Dazeley and B. H. Kang
  41. Dazeley, R. and B. H. Kang (2004) An Augmented Hybrid System for Document Classification and Rating. in PRICAI 2004: 8th Pacific Rim International Conference on Artificial Intelligence. Auckland, New Zealand: Springer 3157 (2004) 985-986
  42. Dazeley, R. and B. H. Kang (2003) Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR. in 3rd International Conference on Hybrid Intelligent Systems. Melbourne, Australia: IOS Press, (2003) 499-508
  43. Dazeley, R. and B. H. Kang (2003) Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR. In The 16th Australian Joint Conference on Artificial Intelligence (AI'03). Perth, Australia: Springer-Verlag, Berlin Heidelberg New York. 2903 (2003) 245-255

Research interests

  • Multi-Objective Reinforcement Learning
  • Assisted Reinforcement Learning
  • Ripple Down Rules
  • Prudence Analysis