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  • 2005

    Ensemble selection for SuperParent-One-Dependence estimators

    Yang, Y., Korb, K. B., Ting, K. M. & Webb, G., 2005, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2005). Zhang, S. & Jarvis, R. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3809. p. 102 - 112 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    35 Citations (Scopus)
  • K-optimal pattern discovery: An efficient and effective approach to exploratory data mining

    Webb, G. I., 1 Dec 2005, AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. p. 1-2 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3809 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

  • Pruning derivative partial rules during impact rule discovery

    Huang, S. & Webb, G., 2005, Proceedings of the 9th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2005). Ho, T. B., Cheung, D. & Liu, H. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3518. p. 71 - 80 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    6 Citations (Scopus)
  • 2004

    Alternative strategies for decision list construction

    Newlands, D. A. & Webb, G. I., 2004, Proceedings of the Fourth International Conference on Data Mining Including Building Applications for CRM & Competitive Intelligence. Ebecken, N. F. F., Brebbia, C. A. & Zanasi, A. (eds.). Southampton UK: WIT Press, p. 265 - 273 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    2 Citations (Scopus)
  • Convex hulls as an hypothesis language bias

    Newlands, D. A. & Webb, G. I., 2004, Proceedings of the Fourth International Conference on Data Mining Including Building Applications for CRM & Competitive Intelligence. Ebecken, N. F. F., Brebbia, C. A. & Zanasi, A. (eds.). Southampton UK: WIT Press, p. 285 - 294 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Efficiently identifying exploratory rules' significance

    Huang, S. & Webb, G., 2004, Proceedings of the 3rd Australasian Data Mining Conference. Simoff, S. J. & Williams, G. J. (eds.). Broadway NSW Australia: University of Technology, Sydney (UTS), p. 169 - 182 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Mining negative rules using GRD

    Thiruvady, D. R. & Webb, G., 2004, Proceedings of the 8th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2004). Dai, H., Srikant, R. & Zhang, C. (eds.). Berlin Germany: Springer, p. 161 - 165 5 p. (Lecture Notes in Computer Science; vol. 3056).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    23 Citations (Scopus)
  • Selective augmented Bayesian network classifiers based on rough set theory

    Wang, Z., Webb, G. & Zheng, F., 2004, Proceedings of the 8th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2004). Dai, H., Srikant, R. & Zhang, C. (eds.). Berlin Germany: Springer, p. 319 - 328 10 p. (Lecture Notes in Computer Science; vol. 3056).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    6 Citations (Scopus)
  • 2003

    A case study in feature invention for breast cancer diagnosis using X-ray scatter images

    Butler, S. M., Webb, G. I. & Lewis, R. A., 2003, AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings. Gedeon, T. D. & Fung, L. C. C. (eds.). New York NY USA: Springer, p. 677-685 9 p. (Lecture Notes in Computer Science; vol. 2903).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    11 Citations (Scopus)
  • Adjusting dependence relations for semi-lazy TAN classifiers

    Wang, Z., Webb, G. I. & Zheng, F., 2003, AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings. Gedeon, T. D. & Fung, L. C. C. (eds.). Berlin Germany: Springer, p. 453 - 465 13 p. (Lecture Notes in Computer Science; vol. 2903).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    9 Citations (Scopus)
  • A new restricted Bayesian network classifier

    Shi, H., Wang, Z., Webb, G. I. & Huang, H., 2003, Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings. Whang, K-Y., Jeon, J., Shim, K. & Srivastava, J. (eds.). Berlin Germany: Springer, p. 265 - 270 6 p. (Lecture Notes in Computer Science; vol. 2637).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)
  • On detecting differences between groups

    Webb, G. I., Butler, S. & Newlands, D., 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Domingos, P., Faloutsos, C., Senator, T., Kargupta, H. & Getoor, L. (eds.). New York USA: Association for Computing Machinery (ACM), p. 256 - 265 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    89 Citations (Scopus)
  • On why discretization works for Naive-Bayes classifiers

    Yang, Y. & Webb, G. I., 2003, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003. Gedeon, T. D. & Fung, L. C. C. (eds.). Berlin Germany: Springer, p. 440 - 452 13 p. (Lecture Notes in Computer Science; vol. 2903).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    56 Citations (Scopus)
  • Preliminary investigations into statistically valid exploratory rule discovery

    Webb, G. I., 2003, Proceedings of the 2nd Australasian Data Mining Workshop. Simoff, S. J., Williams, G. J. & Hegland, M. (eds.). Sydney NSW Australia: University of Technology, Sydney (UTS), p. 1 - 9 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Weighted proportional k-interval discretization for naive-Bayes classifiers

    Yang, Y. & Webb, G. I., 2003, Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings. Whang, K-Y., Jeon, J., Shim, K. & Srivastava, J. (eds.). Berlin Germany: Springer, p. 501 - 512 12 p. (Lecture Notes in Computer Science; vol. 2637).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    17 Citations (Scopus)
  • 2002

    A comparative study of discretization methods for naive-Bayes classifiers

    Yang, Y. & Webb, G. I., 2002, Proceedings of The 2002 Pacific Rim Knowledge Acquisition Workshop. Yamaguchi, T., Hoffmann, A., Motoda, H. & Compton, P. (eds.). Japan: Japanese Society for Artificial Intelligence, p. 159 - 173 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • A heuristic lazy Bayesian rule algorithm

    Wang, Z. & Webb, G. I., 2002, ADM02: Proceedings: Australasian Data Mining Workshop. Simoff, S. J., Williams, G. J. & Hegland, M. (eds.). Sydney NSW Australia: University of Technology, Sydney (UTS), p. 57 - 63 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Averaged One-Dependence Estimators: Preliminary results

    Webb, G. I., Boughton, J. & Wang, Z., 2002, ADM'02: Proceedings: Australasian Data Mining Workshop. Simoff, S. J., Williams, G. J. & Hegland, M. (eds.). Sydney NSW Australia: University of Technology, Sydney (UTS), p. 65 - 73 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Comparison of lazy Bayesian rule and tree-augmented Bayesian learning

    Wang, Z. & Webb, G. I., 2002, Proceedings: 2002 IEEE International Conference on Data Mining: ICDM 2002. Kumar, V., Tsumoto, S., Zhong, N., Yu, P. S. & Wu, X. (eds.). Los Alamitos USA: IEEE, Institute of Electrical and Electronics Engineers, p. 490 - 497 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    14 Citations (Scopus)
  • Experimentation and self learning in continuous database marketing

    Pearce, J. E., Webb, G. I., Shaw, R. N. & Garner, B., 2002, Proceedings: 2002 IEEE International Conference on Data Mining: ICDM 2002. Kumar, V., Tsumoto, S., Zhong, N., Yu, P. S. & Wu, X. (eds.). Los Alamitos USA: IEEE, Institute of Electrical and Electronics Engineers, p. 775 - 778 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Generality is predictive of prediction accuracy

    Webb, G. I. & Brain, D., 2002, Proceedings of The 2002 Pacific Rim Knowledge Acquisition Workshop. Yamaguchi, T., Hoffmann, A., Motoda, H. & Compton, P. (eds.). Japan: Japanese Society for Artificial Intelligence, p. 117 - 130 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Improving an inverse model of sheet metal forming by neural network based regression

    Frayman, Y., Rolfe, B. F. & Webb, G. I., 2002, Proceedings of the ASME Design Engineering Technical Conference. American Society of Mechanical Engineers (ASME), Vol. 1. p. 129-136 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    1 Citation (Scopus)
  • Solving regression problems using competitive ensemble models

    Frayman, Y., Rolfe, B. F. & Webb, G. I., 2002, AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2-6, 2002 Proceedings. McKay, B. & Slaney, J. (eds.). Berlin Germany: Springer, p. 511-522 12 p. (Lecture Notes in Computer Science; vol. 2557).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    12 Citations (Scopus)
  • The need for low bias algorithms in classification learning from large data sets

    Brain, D. & Webb, G. I., 2002, Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19-23, 2002 Proceedings. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). Berlin Germany: Springer, p. 62-73 12 p. (Lecture Notes in Artificial Intelligence; vol. 2431).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    44 Citations (Scopus)
  • 2001

    Candidate elimination criteria for Lazy Bayesian Rules

    Webb, G. I., 2001, AI 2001: Advances in Artificial Intelligence: 14th Australian Joint Conference on Artificial Intelligence Adelaide, Australia, December 10-14, 2001 Proceedings. Stumptner, M., Corbett, D. & Brooks, M. (eds.). Berlin Germany: Springer, p. 545-556 12 p. (Lecture Notes in Computer Science; vol. 2256).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    11 Citations (Scopus)
  • Discovering associations with numeric variables

    Webb, G. I., 2001, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining. New York NY USA: Association for Computing Machinery (ACM), Vol. 493. p. 383 - 388 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    62 Citations (Scopus)
  • Further pruning for efficient association rule discovery

    Zhang, S. & Webb, G. I., 2001, AI 2001: Advances in Artificial Intelligence: 14th Australian Joint Conference on Artificial Intelligence Adelaide, Australia, December 10-14, 2001 Proceedings. Stumptner, M., Corbett, D. & Brooks, M. (eds.). Berlin Germany: Springer, p. 605-618 14 p. (Lecture Notes in Computer Science; vol. 2256).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)
  • 1999

    Convex hulls in concept induction

    Newlands, D. A. & Webb, G. I., 1 Jan 1999, Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. Zhou, L. & Zhong, N. (eds.). Springer, p. 306-316 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1574).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • Decision tree grafting from the all-tests-but-one partition

    Webb, G. I., 1 Dec 1999, 16th International Joint Conference on Artificial Intelligence Proceedings. Vol. 2. p. 702-707 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    80 Citations (Scopus)
  • Stochastic attribute selection committees with multiple boosting: Learning more accurate and more stable classifier committees

    Zheng, Z. & Webb, G. I., 1 Jan 1999, Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. Zhou, L. & Zhong, N. (eds.). Springer, p. 123-132 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1574).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)
  • 1998

    Adjusted probability naive bayesian induction

    Webb, G. I. & Pazzani, M. J., 1 Jan 1998, Advanced Topics in Artificial Intelligence - 11th Australian Joint Conference on Artificial Intelligence, AI 1998, Selected Papers. Antoniou, G. & Slaney, J. (eds.). Springer, p. 285-295 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1502).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    38 Citations (Scopus)
  • Classification learning using all rules

    Viswanathan, M. & Webb, G. I., 1 Jan 1998, Machine Learning: ECML-1998 - 10th European Conference on Machine Learning, Proceedings. Nédellec, C. & Rouveirol, C. (eds.). Springer, p. 149-159 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1398).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    2 Citations (Scopus)
  • Evaluation of data aging: A technique for discounting old data during student modeling

    Webb, G. I. & Kuzmycz, M., 1 Jan 1998, Intelligent Tutoring Systems - 4th International Conference, ITS 1998, Proceedings. Redfield, C. L., Goettl, B. P., Shute, V. J. & Halff, H. M. (eds.). Springer, p. 384-393 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1452).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)
  • Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning

    Zheng, Z., Webb, G. I. & Ting, K. M., 1 Dec 1998, Proceedings of the International Conference on Tools with Artificial Intelligence. p. 216-223 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    5 Citations (Scopus)
  • Stochastic attribute selection committees

    Zheng, Z. & Webb, G. I., 1 Jan 1998, Advanced Topics in Artificial Intelligence - 11th Australian Joint Conference on Artificial Intelligence, AI 1998, Selected Papers. Antoniou, G. & Slaney, J. (eds.). Springer, p. 321-332 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1502).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    14 Citations (Scopus)
  • The problem of missing values in decision tree grafting

    Webb, G. I., 1 Jan 1998, Advanced Topics in Artificial Intelligence - 11th Australian Joint Conference on Artificial Intelligence, AI 1998, Selected Papers. Antoniou, G. & Slaney, J. (eds.). Springer, p. 273-283 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1502).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    7 Citations (Scopus)
  • 1997

    Decision tree grafting

    Webb, G. I., 1 Dec 1997, 15th International Joint Conference on Artificial Intelligence Proceedings. Vol. 2. p. 846-851 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    22 Citations (Scopus)
  • Using decision trees for agent modelling: A study on resolving conflicting predictions

    Chiu, B. C., Webb, G. I. & Zheng, Z., 1 Jan 1997, Advanced Topics in Artificial Intelligence - 10th Australian Joint Conference on Artificial Intelligence, AI 1997, Proceedings. Sattar, A. (ed.). Springer, p. 349-358 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1342).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • 1996

    Cost-sensitive specialization

    Webb, G. I., 1 Jan 1996, PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Foo, N. & Goebel, R. (eds.). Springer, p. 23-34 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1114).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    5 Citations (Scopus)
  • 1995

    Polygonal inductive generalisation system

    Newlands, D. A. & Webb, G. I., 30 Jun 1995, Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1995. Ali, M. & Forsyth, G. F. (eds.). Association for Computing Machinery (ACM), p. 587-592 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • 1992

    Evaluation of feature based modelling in subtraction

    Kuzmycz, M. & Webb, G. I., 1 Jan 1992, Intelligent Tutoring Systems - 2nd International Conference, ITS 1992, Proceedings. Frasson, C., McCalla, G. I. & Gauthier, G. (eds.). Springer, p. 269-276 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 608 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

  • 1990

    Techniques for efficient empirical induction

    Webb, G. I., 1 Jan 1990, AI 1988 - 2nd Australian Joint Artificial Intelligence Conference, Proceedings. Brooks, M. J. & Barter, C. J. (eds.). Springer, p. 225-239 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 406 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review