8.Webb, G.I. (in-press). Self-Sufficient Itemsets: An Approach to Screening Potentially Interesting Associations Between Items. Transactions on Knowledge Discovery from Data. ACM. [Abstract] [Pre-Publication PDF]
7.Webb, G.I. (2008). Layered Critical Values: A Powerful Direct-Adjustment Approach to Discovering Significant Patterns. Machine Learning 71(2-3). Netherlands: Springer, pages 307-323 [Technical Note]. [Abstract] [Pre-Publication PDF][Link to paper via Springerlink]
6.Webb, G.I. (2007). Discovering Significant Patterns. Machine Learning 68(1). Netherlands: Springer, pages 1-33. [Abstract] [Pre-publication PDF][Link to paper via Springerlink]
5.Webb, G.I. (2006). Discovering Significant Rules. In L. Ungar, M. Craven, D. Gunopulos and T. Eliassi-Rad (Eds.), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) Philadelphia, PA. New York: The Association for Computing Machinery, pages 434 - 443. [Abstract] [Pre-publication PDF][Download from ACM Portal]
4.Huang, S. and G.I. Webb (2006). Efficiently Identifying Exploratory Rules' Significance. In LNAI State-of-the-Art Survey series, 'Data Mining: Theory, Methodology, Techniques, and Applications'. Berlin/Heidelberg: Springer, pages 64-77, (Note: an earlier version of this paper was published in S.J. Simoff and G.J. Williams (Eds.), Proceedings of the Third Australasian Data Mining Conference (AusDM04) Cairns, Australia. Sydney: University of Technology, pages 169-182.). [Abstract] [Link to paper via Springerlink]
3.Webb, G. I. and S. Zhang (2005). k-Optimal-Rule-Discovery. Data Mining and Knowledge Discovery 10(1). Netherlands: Springer, pages 39-79. [Abstract] [Prepublication PDF][Link to paper via Springerlink]
2.Huang, S. and G.I. Webb (2004). Efficiently Identifying Exploratory Rules' Significance. In S.J. Simoff and G.J. Williams (Eds.), Proceedings of the Third Australasian Data Mining Conference (AusDM04) Cairns, Australia. Sydney: University of Technology, pages 169-182. [Abstract] [Pre-publication PDF]
1.Webb, G.I. (2003). Preliminary Investigations into Statistically Valid Exploratory Rule Discovery. In S.J. Simoff, G.J. Williams and M. Hegland (Eds.), Proceedings of the Second Australasian Data Mining Conference (AusDM03) Canberra, Australia. Sydney: University of Technology, pages 1-9. [Abstract] [Pre-publication PDF]