Some of my Publications that are Electronically Available 

2004

Davidson I., Paul, Goutam, Locating Secret Messages in Images,Accepted for publication in Research Track, 10th SIGKDD 2004, Seattle

Davidson I. et al, A General Approach to Incorporate Data Quality Matrices into Data Mining Algorithms, Accepted for publication in Industrial Track, 10th SIGKDD 2004, Seattle.

Davidson I., Ensemble Approaches for Stable Learners with Convergence Bounds, Accepted for publication at the 19th AAAI Conference 2004

Yin, K. and Davidson I., Visually Comparing Clustering Algorithms, Accepted for publication at 8th PAKDD 20044

2003

Berg G., Davidson I., Paul G., Duan M., Searching For Hidden Messages: Automatic Detection of Steganography, AAAI -  IAAI 2003 IAAI103.pdf

Davidson, I., Yin, K., Semi-Lazy Learning: Combining Clustering and Classifiers to Build More Accurate Models, MLMTA 2003 mlmta2003.pdf

Davidson, I., Yin, K., Message Length Estimators, Model Averaging and Optimal Prediction, Dimacs Workshop on Complexity and Inference (Yu, Hansen and Vitanyi), 2003. DIMACS.pdf

Davidson, I., and Aminian, M., Using The Central Limit Theorem for Belief Network Learning, Ian Davidson, Minoo Aminian, The 8th International Symposium on A.I. and Math BBNAIMATHS.pdf

Davidson, I., Satyanarayana, A., Speeding up k-means Clustering by Bootstrap Averaging, IEEE Data Mining Workshop on Clustering Large Data Sets IEEEWorkshop.pdf

Yin, K., Davidson I., Bayesian Model Averaging Across Model Spaces via Compact Encoding, The 8th International Symposium on A.I. and Math MMLmathai04.pdf

2002

Davidson, I., "Visualizing Clustering Results", SIAM International Conference on Data Mining, 2002 Color PDF

Davidson, I., “Combining Probabilistic Search, Latent Variable Analysis and Classification Models”, AAAI Workshop on Probabilistic Search, 2002 PDF

2001

Davidson, I., "A Particle Visualization Framework for Clustering and Anomaly Detection", ACM KDD Workshop on Visual Data Mining, 2001. Color PDF

2000

Davidson, I., "Minimum Message Length Clustering Using Gibbs Sampling", 16th International Conference on Uncertainty in A.I., 2000 GZipped Post Script, Post Script, PDF

Last Century

Davidson, I., "Finding and Using Multiple Models For Autonomous Unsupervised Learning", 4th International Conference on Intelligent Systems and Semiotics, NIST, Washington, 1997 GZipped Post Script, Post Script, PDF

Davidson, I. et al, "Applications of automated profile matching", 10th International Conference on Computer Applications in Industry and Engineering CAINE'97. Post Script, PDF

Kosmyni, A. and Davidson, I, "The Benefits of Using Background Contextual Knowledge For Document Representation To Classify Documents", Lecture Notes in Computer Science Published By Springer, 1997 Post Script, PDF

Davidson, I. And Kowalczyk, R., "Towards Better Approaches To Decision Support in Logistics Problems", Industrial Logistics, Feb 1997 Post Script, PDF

Sharpe R., Oakes S., Haselden P., Davidson I., "Automation of the Building Code of Australia", 3rd World Congress of Building Officials (New Orleans, USA May 1-6 1994)

Sharpe R, Oakes S, Haselden P and Davidson I. (1994), "Building Code of Australia Expert Assistant - Putting Research into Practice", Proc ASCE First Congress on Computing in Civil Engineering, Washington, D.C. pp.1679-1686.

Sharpe R, Oakes S, Haselden P Davidson I & Wenbin G. (1992), "Computer Aid for the Building Code of Australia", Proceedings of the International Building Conference (ABIC 92), "Efficient and Effective Construction in the 90's", Gold Coast, pp. 301-307.

Ph.D.

My Ph.D. thesis title is: "Markov Chain Monte Carlo Sampling and the Minimum Message Length Principle".

I studied at Monash University in Melbourne, Australia Under the supervision of Emeritus Professor C.S. Wallace

·  Here is the abstract

·  Here is the nine page introduction Postscript, PDF