Data Mining and Web Mining

Current Work

Completed Theses

[1]

Paul Boxer. A System to Learn Naive Physics by Visual Observation. PhD Thesis, RMIT, Department of Computer Science, 2002.

[2]

Wayne Jenkins. Robust Learning Algorithms. PhD thesis, RMIT, Department of Computer Science, July 1996.

[3]

Honghua Dai. Learning of Inexact Forecasting Rules From Very Large Noisy Meteorological Data Bases. PhD thesis, RMIT, Department of Computer Science, December 1994.

[4]

Mathew Boek. An Application of Neural Networks to Machine Vibration Analysis. Masters thesis, RMIT, Department of Computer Science, February 1992.

[5]

Anand Lalani. Data Mining of Web Access Logs. Minor Thesis, RMIT, Department of Computer Science, 2003. (PDF, 664442 bytes)

[6]

Michael Ismail. An Empirical Investigation of the Impact of Discretization on Common Data Distributions. Dissertation, RMIT, Department of Computer Science, 2003. (PDF, 235983 bytes)

[7]

Remzi Ibrahim. Empirical Analysis of Data Mining Techniques. Minor Thesis, RMIT, Department of Computer Science, 1999. (PDF, 250550 bytes)

[8]

Bernardette Garner. A Sensitivity Analysis for Symbolically Trained Multilayer Adaptive Feedforward Neural Networks. Minor thesis, RMIT, Department of Computer Science, 1997.

[9]

Evan Thomas. Parallel Algorithms for Neural Simulations. Minor thesis, RMIT, Department of Computer Science, 1997. (Gzipped PostScript, 69 pages, 392589 bytes)

[10]

Vladimir Brusic. Genetic Algorithms in the Study of Functionally Related Peptides. Minor thesis, RMIT, Department of Computer Science, 1996.

[11]

Adrian Trezise. Prediction of Time Series Variance using Neural Networks. Minor thesis, RMIT, Department of Computer Science, 1996.

[12]

Emlyn Garvey. On-Line Quality Control of Injection Moulding Using Neural Networks. Minor thesis, RMIT, Department of Computer Science, 1997. (Gzipped PostScript, 392222 bytes)

[13]

Greg Palstra. Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data. Honours thesis, RMIT, Department of Computer Science, November 1995. (Gzipped PostScript, 32 pages, 90451 bytes)

Selected Papers Describing This Work

[1]

Vic Ciesielski and Xiang Li. Data mining of genetic programming run logs. In Marc Ebner et al., editor, Proceedings of the 10th European Conference on Genetic Programming (EUROGP07), volume 4445 of LNCS, pages 281-290. Springer, April 2007.

[2]

Jianhong Xia, Vic Ciesielski, and Colin Arrowsmith. Data mining of tourists spatio-temporal movement patterns --- a case study on phillip island. In Yichun Xie and Daniel Brown, editors, Proceedings of the Eighth d International Conference on GeoComputation), pages 1-15. University of Michigan, August 2005. (PDF, 429765 bytes)

[3]

Vic Ciesielski and Xiang Li. Analysis of genetic programming runs. In R. McKay, editor, Asia-Pacific Workshop on Genetic Programming, December 2004. (PDF, 4671205 bytes)

[4]

George Mitri, Alexandra Uitdenbogerd, and Vic Ciesielski. Automatic music classification problems. In Vladimir Estivill-Castro, editor, Proceedings of the 27th Australian Computer Science Conference (ACSC2004), pages 315-322. Australian Computer Society, January 2004.

[5]

Michael Ismail and Vic Ciesielski. An empirical investigation of the impact of discretization on common data distributions. In Ajith Abraham, Mario Koppen, and Katrin Franke, editors, Proceedings of the Third International Conference on Hybrid Intelligent Systems (HIS'03): Design and Application of Hybrid Intelligent Systems, pages 692-701. IOS Press, December 2003. (PDF, 91228 bytes)

[6]

Vic Ciesielski and Anand Lalani. Data mining of web access logs from an academic web site. In Ajith Abraham, Mario Koppen, and Katrin Franke, editors, Proceedings of the Third International Conference on Hybrid Intelligent Systems (HIS'03): Design and Application of Hybrid Intelligent Systems, pages 1034-1043. IOS Press, dec 2003. (PDF, 96821 bytes)

[7]

Kate Smith, Victor Ciesielski, Frederick Woo, and Remzi Ibrahim. Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks. In Cihan Dagli, editor, Intelligent Engineering Systems Through Artificial Neural Networks, volume 11, pages 356-362, New York, November 2001. ASME Press. (PDF, 74647 bytes)

[8]

Vladimir Brusic, Christian Schonbach, Masafumi Takiguchi, Victor Ciesielski, and Leonard Harrison. Application of Genetic Search in the Derivation of Matrix Models of Peptide Binding to MHC Molecules . In Terry Gaasterland, Peter Karp, Kevin Karplus, Christos Ouzounis, Chris Sanders, and Alfonso Valencia, editors, Proceedings of the Fifth International Conference on Intelligent Systems for Molecular Biology, pages 75-83, Menlo Park, California, June 1997. AAAI Press. (Gzipped PostScript, 9 pages, 61130 bytes)

[9]

Victor Ciesielski and Greg Palstra. Using a hybrid neural/expert system for data base mining in market survey data. In E. Simoudis, J. Han, and U. Fayyad, editors, Proceedings of the Second International Conference on Knowledge Discovery (KDD-96), pages 36-43, Menlo Park, Ca., August 1996. AAAI Press. (Gzipped PostScript, 6 pages, 45672 bytes)

[10]

Victor Ciesielski. Boundary points do not improve the accuracy of neural net classifiers. In Xin Yao, editor, Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence, pages 163-170, Canberra, November 1995. World Scientific. (Gzipped PostScript, 8 pages, 272497 bytes)

[11]

Honghua Dai and Victor Ciesielski. Learning of inexact rules by the fish-net algorithm from low quality data. In Chengqi Zhang, John Debenham, and Dickson Lukose, editors, Proceedings of the Eighth Australian Joint Artificial Intelligence Conference, pages 108-115, Singapore, 1994. World Scientific. (Gzipped PostScript, 8 pages, 59570 bytes)

[12]

Victor Ciesielski and John Spicer. Embedded neural networks and expert systems in the diagnostic microbiology laboratory. IEEE Expert, Special Issue on Embedded AI Systems, 2(3):42-48, June 1994. (PDF, 2190456 bytes)