Research Output for Geoffrey Webb
Note: The 2012, 2013 publications have not been audited.
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Publications
2004 External
Dai, Honghua and Webb, Geoff* (2004) Guest editors' introduction, International journal of software engineering and knowlegde engineering, vol. 14, no. 4, pp. 365-368, World Scientific Publishing Co., Singapore [C2]
ERA journal ID: 17960 – Scopus EID: Not taggedDRO entry for this publication
Newlands, D. A. and Webb, G. I.* (2004) Convex hulls as an hypothesis language bias, in Ebecken, N. F. F; Brebbia , C. A. and Zanasi, A. (eds), DM IV 2003 : Proceedings of the Fourth International Conference on Data Mining : Data Mining IV, pp. 285-294, WIT Press, Southampton, England [E1]
Newlands, D. A. and Webb, G. I.* (2004) Alternative strategies for decision list construction, in Ebecken, N. F. F; Brebbia, C. A. and Zanasi, A. (eds), DM IV 2003 : Proceedings of the Fourth International Conference on Data Mining : Data Mining IV, pp. 265-273, WIT Press, Southampton, England [E1]
2003 External
Rolfe, Bernard, Frayman, Yakov, Webb, Geoff* and Hodgson, Peter (2003) Analysis of stamping production data with view towards quality management, in Brown, R. H (eds), ICME 2003 Conference proceedings, 13-15 Oct., 2003, Carlton Crest Hotel, Melbourne Australia., pp. 1-15, the Conference, Melbourne, Vic [E1]
Webb, Geoffrey*, Butler, Douglas* and Newlands, Douglas (2003) On detecting differences between groups, in Domingos, Pedro and Faloutsos, Christos (eds), KDD-2003 : proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 24-27, 2003, Washington, D.C., pp. 256-265, Association for Computing Machinery, New York, N.Y. [E1]
Frayman, Yakov, Rolfe, Bernard F., Hodgson, Peter D. and Webb, Geoffrey I.* (2003) Improving the prediction of the roll separating force in a hot steel finishing mill, in Meech, John A.; Kawazoe, Yoshiyuki; Kumar, Vijay and Maguire, John F. (eds), IPMM 2003 : Intelligence in a small materials world : selected papers from the Fourth International Intelligent Processing and Manufacturing of Materials Conference, pp. 1-12, Intelligent Processing and Manufacturing of Materials, Sendai, Japan [E1.1]
Webb, Geoffrey* and Dai, Honghua (2003) SEKE 2003 : the 15th International Conference on Software Engineering & Knowledge Engineering : proceedings, technical program, July 1-3, 2003, San Francisco, California, USA, in Webb, Geoffrey and Dai, Honghua (eds), Knowledge Systems Instittute, Skokie, Ill. [E4]
2002 School of Information Technology
Webb, Geoffrey (2002) Integrating machine learning with knowledge acquisition, in Leondes, Cornelius T. (eds), Expert systems : the technology of knowledge management and decision making for the 21st century, pp. 937-959, Academic, San Diego, Calif. [B1]
Brain, Damien and Webb, Geoffrey I. (2002) The need for low bias algorithms in classification learning from large data sets, in Elomaa, Tapio; Mannila, Heikki and Toivonen, Hannu (eds), PKDD 2002 : Principles of Data mining and Knowledge Discovery : 6th European Conference Proceedings, pp. 62-73, PKDD, Helsinki, Finland [E1]
Frayman, Yakov, Rolfe, Bernard F. and Webb, Geoffrey I. (2002) Solving regression problems using competitive ensemble models, in McKay, Bob and Slaney, John (eds), AI 2002 : Advances in artificial intelligence : proceedings of the 15th Australian Joint Conference on Artificial Intelligence, pp. 511-522, Springer, Berlin, Germany [E1]
Frayman, Yakov, Rolfe, Bernard and Webb, G. (2002) Improving an inverse model of sheet metal forming by neural network based regression, in Kazerounian, Kazem (eds), Proceedings of the 2002 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 1-12, American Society of Mechanical Engineers, New York, N.Y. [E1]
Frayman, Yakov, Rolfe, Bernard, Hodgson, Peter and Webb, G.I (2002) Predicting the rolling force in hot steel rolling mill using an ensemble model, in Hamza, M.H. (eds), Artificial intelligence and applications: proceedings of the second IASTED International Conference, pp. 143-148, ACTA Press, New York, N.Y. [E1]
Pearce, James E.*, Webb, Geoffrey I., Shaw, Robin and Garner, Brian (2002) A systemic approach to the database marketing process, in Shaw, R.; Adam, S. and McDonald, H. (eds), Proceedings of the Australian and New Zealand Marketing Academy Conference, pp. 2941-2948, ANZMAC, Geelong, Vic. [E1]
Rolfe, Bernard, Frayman, Yakov, Hodgson, Peter, Webb, G.I. and Kelly, Georgina (2002) Fault detection in a cold forging process through feature extraction with a neural network, in Hamza, M.H. (eds), Artificial intelligence and applications: proceedings of the second IASTED Conference, pp. 155-159, ACTA Press, New York, N.Y [E1]
Yang, Ying and Webb, Geoffrey I. (2002) Non-disjoint discretization for naive-bayes classifiers, in Sammut, Claude and Hoffmann, Achim (eds), ICML 2002 : Proceedings of the Nineteenth International Conference on Machine Learning, pp. 666-673, ICML, Sydney, N.S.W. [E1]
Webb, Geoff (2002) Magnum Opus, RuleQuest Research, St Ives, N.S.W. [J1]
2002 External
Pearce, J.E.*, Shaw, Robin, Webb, G.I.* and Garner, Brian (2002) Experimentation and self learning in continuous database marketing, in Kumar, Vipin (eds), 2002 IEEE International Conference on Data Mining : proceedings : 9-12 December, 2002, Maebashi City, Japan, pp. 775-778, IEEE Xplore, Piscataway, N.J. [E1]
Webb, Geoffrey* and Brain, Damien (2002) Generality is predictive of prediction accuracy, in Yamaguchi, Takahira (eds), Proceedings of PKAW '02 : the 2002 Pacific Rim Knowledge Aquisition Workshop, pp. 117-130, JSAI NII, Japan [E1]
2001 School of Information Technology
Webb, Geofferey I., Pazzani, Michael J.* and Billsus, Daniel* (2001) Machine learning for user modeling, User modeling and user-adapted interaction: the journal of personalization research, vol. 11, no. 1-2, pp. 19-29, Springer Netherlands, Dordrecht, Netherlands [C1]
ERA journal ID: 18147 – Scopus EID: Not tagged
Citation counts:Scopus - 111,
Thomson - 111
Wang, Zhihai, Webb, Geoffrey and Dai, Honghua (2001) The implementation of lazy Bayesian rule in Weka system, in Baik, Dookwon; Shen, Beijun and Nakano, Hideo (eds), ISFST 2001 : Proceedings of the International Symposium on Future Software Technology, pp. 204-208, International Symposium on Future Software Technology, ZhengZhou City, China [E1]
Webb, Geoffrey (2001) Candidate elimination criteria for lazy Bayesian rules, in Corbett, Dan; Stumptner, Markus and Brooks, Mike (eds), AI 2001 : advances in artificial intelligence : 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001 : proceedings, pp. 545-556, Springer, Berlin, Germany [E1]
Webb, Geoffrey (2001) Discovering associations with numeric variables, in Provost, Foster and Srikant, Ramakrishnan (eds), KDD-2001 : proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 383-388, Association for Computer Machinery, New York, NY [E1]
Yang, Ying and Webb, Geoffrey I. (2001) Proportional k-interval discretization for naive-Bayes classifiers, in Carbonell, Jaime G. and Siekmann, Jorg (eds), ECML 2001 : Machine Learning : 12th European Conference on Machine Learning, pp. 564-575, Springer-Verlag, Berlin, Germany [E1]
Zhang, Songmao and Webb, Geoffrey I. (2001) Further pruning for efficient association rule discovery, in Corbett, Dan; Brooks, Mike and Stumpter, Markus (eds), AI 2001 : Advances in Artificial Intelligence : Proceedings of the 14th Australian Joint Conference on Artificial Intelligence, pp. 605-618, The Conference, Adelaide, S.Aust. [E1]
2000 School of Information Technology
Smith, P.* and Webb, G. (2000) The efficacy of a low-level program visualization tool for teaching programming concepts to novice C programmers, Journal of Educational Computing Research, vol. 0, no. 0, pp. 187-215, Baywood Publishing, New York [C1]
ERA journal ID: 20307 – Scopus EID: Not taggedWebb, G. (2000) MultiBoosting: a technique for combining boosting and wagging, Machine Learning, vol. 0, no. 0, pp. 159-196, Kluwer Academic Publishers, The Netherlands [C1]
ERA journal ID: 18066 – Scopus EID: Not taggedZheng, Z. and Webb, G. (2000) Lazy learning of Bayesian rules, Machine Learning, vol. 0, no. 0, pp. 53-84, Kluwer Academic Publishers, Netherlands [C1]
ERA journal ID: 18066 – Scopus EID: Not taggedTing, K., Zheng, Z. and Webb, G. (2000) Learning lazy rules to improve the performance of classifiers, in Max Bramer, Ann Macintosh and Frans Coenen (eds), Proceedings of ES99: The 19th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, pp. 122-131, Springer-Verlag, London [E1]
Webb, G. (2000) Efficient Search for Association Rules, in Raghu Ramakrishnan and Sal Stolfo (eds), Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining, pp. 99-107, Association for Computing Machinery, New York, USA [E1]
1999 School of Information Technology
Webb, Geoff., Wells, Jason. and Zheng, Zijian (1999) An experimental evaluation of integrating machine learning with knowledge acquisition , Machine Learning, vol. 0, no. 0, pp. 5-23, Kluwer Academic Press, Boston, MA, USA [C1]
ERA journal ID: 18066 – Scopus EID: Not taggedChiu, B.* and Webb, G. (1999) Dual-model: An Architecture for utilizing temporal information in student modeling, in G. Cumming, T. Okamoto, L. Gomez (eds), 7th International Conference on Computers in Education, pp. 111-118, IOS Press, Amsterdam, Netherlands [E1]
Newlands, D. and Webb, G. (1999) Convex Hulls in Concept Induction, in Ning Zhong and Lizhu Zhou (eds), 3rd Pacific-Asia Conference, PAKDD-99, pp. 307-316, Springer, Germany, Berlin [E1]
Smith, P.* and Webb, G. (1999) Evaluation of low-level program visualisation for teaching novice C programmers, in G. Cumming, T. Okamoto, L. Gomez (eds), 7th International Conference on Computers in Education, pp. 385-392, IOS Press, Japan [E1]
Webb, G. (1999) Decision tree grafting from the all-tests-but-one partition, in Thomas Dean (ed.), 16th International Joint Conference on Artifical Intelligence, pp. 702-707, Morgan Kaufmann, USA, San Fransisco, CA [E1]
Zheng, Z.*, Webb, G. and Ting, K. (1999) Lazy Bayesian Rules: A lazy semi-naive Bayesian learning technique competitive to boosting decision trees, in Ivan Bratko and Saso Dzeroski (eds), Machine learning, proceedings of the 16th international conference, pp. 493-502, Morgan Kaufmann, California [E1]
Zheng, Z. and Webb, G. (1999) Stochastic attribute selection committees with multiple boosting: learning more accurate and more stable classifier committees, in Ning Zhong and Lizhu Zhou (eds), 'Methodologies for knowledge discovery and data mining' 3rd Pacific-Asia Conference, pp. 123-132, Springer, Berlin [E1]
Brain, D. and Webb, G. (1999) On the effect of data set size on bias and variance in classification learning, in D. Richards, G. Beydoum, A. Hoffman, P. Compton (eds), 4th Australian Knowledge Acquisition Workshop, pp. 117-128, University of New South Wales, Sydeny [E2]
1998 School of Information Technology
Chiu, B. and Webb, G. (1998) Using Decision Trees for Agent Modeling: Improving Prediction Performance, User Modeling and User-Adapted Interaction: An International Journal, vol. 0, no. 0, pp. 131-152, Kluwer Academic Publisher Group, "Dordrecht, Netherlands" [C1]
ERA journal ID: Not matching ERA journal listWebb, G. (1998) Preface, User Modeling and User-Adapted Interaction, vol. 0, no. 0, pp. 1-3, Kluwer Academic Publishers, "Dordrecht, Netherlands" [C4]
ERA journal ID: Not matching ERA journal listViswanathan, M. and Webb, G. (1998) Classification Learning Using All Rules, 10th European Conference on Machine Learning, pp. 149-159, Springer-Verlag, "Berlin, Germany" [E1]
Webb, G. and Kuzmycz, M. (1998) Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modelling, 4th International Conference Intelligent Tutoring Systems San Antonio USA, pp. 384-393, Springer, Berlin [E1]
Webb, G. and Pazzani, M.* (1998) Adjusted Probability Naive Bayesian Induction, 11th Australian Joint Conference on Artificial Intelligence [E1]
Webb, G. (1998) The Problem of Missing Values in Decision Tree Grafting, "11th Australian Joint Conference on Artificial Intelligence, AI '98" [E1]
Zheng, Z. and Webb, G. (1998) Stochastic Attribute Selection Committees, 11th Australian Joint Conference on Artificial Intelligence, pp. 321-332, Springer-Verlag, "Berlin, Germany" [E1]
Zheng, Z., Webb, G. and Ting, K. (1998) Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning, 10th International Conference on Tools With Artificial Intelligence TAI '98, pp. 216-223, IEEE Computer Society, "Los Alamitos, USA" [E1]
Zheng, Z. and Webb, G. (1998) Multiple Boosting: A Combination of Boosting and Bagging, The International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 1133-1140, CSREA, USA [E1]
1997 School of Information Technology
Webb, G., Chiu, B. and Kuzmycz, M. (1997) Comparative Evaluation of Alternative Induction Engines for Feature Based Modelling, International Journal of Artificial Intelligence in Education, vol. 0, no. 0, pp. 97-115, International AIED Society, Leeds, UK [C1]
ERA journal ID: Not matching ERA journal listChiu, B., Webb, G. and Zheng, Z. (1997) Using Decision Trees for Agent Modelling: A Study on Resolving Conflicting Predictions., Proceedings of the Tenth Australian Joint Conference on Artificial Intelligence (AI'97), pp. 349-358, Springer-Verlag, Berlin [E1]
Chiu, B., Webb, G. and Kuzmycz, M. (1997) A Comparison of First-Order and Zeroth-Order Induction for Input-Output Agent Modelling, User Modelling: Proceedings of the Sixth International Conference UM97, pp. 347-358, Springer Wien, New York, USA [E1]
Webb, G. (1997) Decision Tree Grafting, Fifteenth International Joint Conference on Artificial Intelligence, pp. 846-851, Morgan Kauffman, San Francisco CA [E1]
1996 School of Information Technology
Webb, G. and Kuzmycz, M. (1996) "Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies", User Modeling and User-Adapted Interaction, vol. 0, no. 0, pp. 117-150, Kluwer Academic Publishers, Netherlands [C1]
ERA journal ID: 18147 – Scopus EID: Not taggedWebb, G. (1996) Further Experimental Evidence Against the Utility of Occam's Razor, Journal of Artificial Intelligence Research, vol. 0, no. 0, pp. 397-417, AI Access Foundation and Morgan Kaufmann, San Francisco [C1]
ERA journal ID: 17973 – Scopus EID: Not taggedWebb, G. (1996) Integrating Machine Learning with Knowledge Acquisition through Direct Interaction with Domain Experts, Knowledge-Based Systems, vol. 0, no. 0, pp. 253-266, Elsevier, Dordrecht, Netherlands [C1]
ERA journal ID: 18062 – Scopus EID: Not taggedWebb, G. and Wells, J. (1996) Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition through Direct Interaction with Domain Experts, PKAW'96: The Pacific Knowledge Aquisition Workshop, pp. 170-189, University of New South Wales, Kensington, Australia [E1]
Webb, G. (1996) A Heuristic Covering Algorithm has Higher Predictive Accuracy Than Learning All the Rules, "Proceedings of the Conference, ISIS '96: Information, Statistics and Induction in Science", pp. 20-30, World Scientific, Singapore [E1]
Webb, G. (1996) Cost-Sensitive Specialisation, Proceedings of the 4th Pacific Rim International Conference on Artifiicial Intelligence, pp. 23-34, Springer-Verlag, Berlin, Germany [E1]
Webb, G. (1996) Inclusive Pruning: A New Class of Pruning Rule for Unordered Search and its Application to Classification Learning, ACSC'96 Nineteenth Australasian Computer Science Conference: Australian Computer Science Communications, pp. 1-10, Melbourne University, Melbourne, Australia [E1]
1995 School of Information Technology
Webb, G. (1995) Opus: An Efficient Admissible Algorithm for Unordered Search, Journal of Artificial Intelligence Research, vol. 0, no. 0, pp. 431-465, AI Access Foundation & Morgan Kaufmann Publishers [C1]
ERA journal ID: Not matching ERA journal listNewlands, D. and Webb, G. (1995) Polygonal Inductive Generalisation System, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems Proceedings of the 8th International Conference, pp. 587-592, Gordon and Breach Publishers, Yverdon, Switzerland [E1]
Webb, G. and Wells, J. (1995) Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition, A.I.95: Eight Australian Joint Conference on Artificial Intelligence, pp. 291-298, World Scientific, Singapore [E1]
Smith, P. and Webb, G. (1995) Transparency Debugging with Explanations for Novice Programmers, 2nd International Workshop on Automated and Algorithmic Debugging, pp. 105-118, AADEBUG, Saint-Malo, France [L1]
Grants and Consultancies
All years
Research Income - National Competitive Grants
Hodgson, P and Webb, G. Improved process control and quality in sheet metal forming using machine learning techniques, Australian Research Council SPIRT Grant [T]
- 2003: $57,780
- 2002: $95,566
- 2001: $96,799
Webb, G. Learning efficient accurate Bayesian classifiers from data, Australian Research Council Large Grant [T]
- 2002: $61,626
- 2001: $60,281
Webb, G, Pazzani, M* and Zheng, Z*. Learning efficient accurate Bayesian classifiers from data, Australian Research Council Large Grant [T]
- 2000: $56,971
Webb, G. Machine-expert collaborative knowledge acquisition, Australian Research Council Large Grant [T]
- 1996: $47,286
- 1995: $46,934
Research Income - Industry and Other Funding
Hodgson, P, Webb, G, Sellars, C* and Beynon, J*. Improved process control and quality in sheet metal forming using machine learning techniques [V]
- 2003: $20,000
- 2002: $40,000
Higher Degree by Research Completions supervised by Geoffrey Webb
2000
Bark-cheung Chiu
Doctor of Philosophy, Thesis entitled: Predictive Modeling of Student Competency.
School of Information Technology1999
Philip Smith
Doctor of Philosophy, Thesis entitled: The Development and Evaluation of a Glass-box Interpreter for Teaching Novice Programmers.
School of Information Technology1998
Douglas Newlands
Doctor of Philosophy, Thesis entitled: Convex Hulls in Concept Induction.
School of Information Technology1997
Mark Kuzmycz
Doctor of Philosophy, Thesis entitled: Praxis Modelling: An Evaluation of and Extension to Feature Based Modelling.
School of Information Technology1995
Simon Yip
Doctor of Philosophy, Thesis entitled: Empirical Attribute Space Refinement in Classifaction Learning.
School of Information Technology
- Legend:
- * Not a member of Deakin University at time of output.
DRO to publications collection last synchronised: Thursday 20th June 2013 3:06pm
