Geoffrey I. Webb Papers on DiSC'03 Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. Experimentation and Self Learning in Continuous Database Marketing Publications Note: Links lead to the DBLP on the Web. Geoffrey I. Webb 35 Hongbo Shi , Zhihai Wang , Geoffrey I. Webb, Houkuan Huang : A New Restricted Bayesian Network Classifier. PAKDD 2003 : 265-270 34 Ying Yang , Geoffrey I. Webb: Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD 2003 : 501-512 33 Chengqi Zhang , Shichao Zhang , Geoffrey I. Webb: Identifying Approximate Itemsets of Interest in Large Databases. Applied Intelligence 18 (1): 91-104 (2003) 32 Yakov Frayman , Bernard F. Rolfe , Geoffrey I. Webb: Solving Regression Problems Using Competitive Ensemble Models. Australian Joint Conference on Artificial Intelligence 2002 : 511-522 31 Zhihai Wang , Geoffrey I. Webb: Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. ICDM 2002 : 490-497 30 James E. Pearce , Geoffrey I. Webb, Robin N. Shaw , Brian Garner : Experimentation and Self Learning in Continuous Database Marketing. ICDM 2002 : 775-778 29 Ying Yang , Geoffrey I. Webb: Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML 2002 : 666-673 28 Damien Brain , Geoffrey I. Webb: The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. PKDD 2002 : 62-73 27 Geoffrey I. Webb: Candidate Elimination Criteria for Lazy Bayesian Rules. Australian Joint Conference on Artificial Intelligence 2001 : 545-556 26 Songmao Zhang , Geoffrey I. Webb: Further Pruning for Efficient Association Rule Discovery. Australian Joint Conference on Artificial Intelligence 2001 : 605-618 25 Ying Yang , Geoffrey I. Webb: Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML 2001 : 564-575 24 Geoffrey I. Webb: Discovering associations with numeric variables. KDD 2001 : 383-388 23 Geoffrey I. Webb: Efficient search for association rules. KDD 2000 : 99-107 22 Geoffrey I. Webb: MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning 40 (2): 159-196 (2000) 21 Zijian Zheng , Geoffrey I. Webb: Lazy Learning of Bayesian Rules. Machine Learning 41 (1): 53-84 (2000) 20 Zijian Zheng , Geoffrey I. Webb, Kai Ming Ting : Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML 1999 : 493-502 19 Geoffrey I. Webb: Decision Tree Grafting From the All Tests But One Partition. IJCAI 1999 : 702-707 18 Zijian Zheng , Geoffrey I. Webb: Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. PAKDD 1999 : 123-132 17 D. A. Newlands , Geoffrey I. Webb: Convex Hulls in Concept Induction. PAKDD 1999 : 306-316 16 Geoffrey I. Webb, Jason Wells , Zijian Zheng : An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. Machine Learning 35 (1): 5-23 (1999) 15 Geoffrey I. Webb: The Problem of Missing Values in Decision Tree Grafting. Australian Joint Conference on Artificial Intelligence 1998 : 273-283 14 Geoffrey I. Webb, Michael J. Pazzani : Adjusted Probability Naive Bayesian Induction. Australian Joint Conference on Artificial Intelligence 1998 : 285-295 13 Zijian Zheng , Geoffrey I. Webb: Stochastic Attribute Selection Committees. Australian Joint Conference on Artificial Intelligence 1998 : 321-332 12 Murlikrishna Viswanathan , Geoffrey I. Webb: Classification Learning Using All Rules. ECML 1998 : 149-159 11 Geoffrey I. Webb, Mark Kuzmycz : Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. Intelligent Tutoring Systems 1998 : 384-393 10 Bark Cheung Chiu , Geoffrey I. Webb, Zijian Zheng : Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. Australian Joint Conference on Artificial Intelligence 1997 : 349-358 9 Geoffrey I. Webb: Decision Tree Grafting. IJCAI (2) 1997 : 846-851 8 Geoffrey I. Webb: Cost-Sensitive Specialization. PRICAI 1996 : 23-34 7 Geoffrey I. Webb: Further Experimental Evidence against the Utility of Occam's Razor. JAIR 4 : 397-417 (1996) 6 Philip A. Smith , Geoffrey I. Webb: Transparency Debugging with Explanations for Novice Programmers. AADEBUG 1995 : 105-118 5 D. A. Newlands , Geoffrey I. Webb: Polygonal Inductive Generalisation System. IEA/AIE 1995 : 587-592 4 Geoffrey I. Webb: OPUS: An Efficient Admissible Algorithm for Unordered Search. JAIR 3 : 431-465 (1995) 3 Mark Kuzmycz , Geoffrey I. Webb: Evaluation of Feature Based Modelling in Subtraction. Intelligent Tutoring Systems 1992 : 269-276 2 Geoffrey I. Webb: Techniques for Efficient Empirical Induction. Australian Joint Conference on Artificial Intelligence 1988 : 225-239 1 Geoffrey I. Webb: A Knowledge-Based Approach to Computer-Aided Learning. International Journal of Man-Machine Studies 29 (3): 257-285 (1988) DiSC'03 © 2003 Association for Computing Machinery