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Geoffrey I. Webb: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Geoffrey I. Webb
    OPUS: An Efficient Admissible Algorithm for Unordered Search. [Citation Graph (1, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:431-465 [Journal]
  2. Philip A. Smith, Geoffrey I. Webb
    Transparency Debugging with Explanations for Novice Programmers. [Citation Graph (0, 0)][DBLP]
    AADEBUG, 1995, pp:105-118 [Conf]
  3. Jingli Lu, Ying Yang, Geoffrey I. Webb
    Incremental Discretization for Naïve-Bayes Classifier. [Citation Graph (0, 0)][DBLP]
    ADMA, 2006, pp:223-238 [Conf]
  4. Bark Cheung Chiu, Geoffrey I. Webb, Zijian Zheng
    Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1997, pp:349-358 [Conf]
  5. Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis
    A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:677-685 [Conf]
  6. Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb
    Solving Regression Problems Using Competitive Ensemble Models. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:511-522 [Conf]
  7. Zhihai Wang, Geoffrey I. Webb, Fei Zheng
    Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:453-465 [Conf]
  8. Geoffrey I. Webb
    Candidate Elimination Criteria for Lazy Bayesian Rules. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2001, pp:545-556 [Conf]
  9. Geoffrey I. Webb
    K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1-2 [Conf]
  10. Geoffrey I. Webb
    Techniques for Efficient Empirical Induction. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1988, pp:225-239 [Conf]
  11. Geoffrey I. Webb
    The Problem of Missing Values in Decision Tree Grafting. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1998, pp:273-283 [Conf]
  12. Geoffrey I. Webb, Michael J. Pazzani
    Adjusted Probability Naive Bayesian Induction. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1998, pp:285-295 [Conf]
  13. Songmao Zhang, Geoffrey I. Webb
    Further Pruning for Efficient Association Rule Discovery. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2001, pp:605-618 [Conf]
  14. Zijian Zheng, Geoffrey I. Webb
    Stochastic Attribute Selection Committees. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1998, pp:321-332 [Conf]
  15. Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
    Ensemble Selection for SuperParent-One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:102-112 [Conf]
  16. Ying Yang, Geoffrey I. Webb
    On Why Discretization Works for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:440-452 [Conf]
  17. Shiying Huang, Geoffrey I. Webb
    Efficiently Identifying Exploratory Rules' Significance. [Citation Graph (0, 0)][DBLP]
    Selected Papers from AusDM, 2006, pp:64-77 [Conf]
  18. Geoffrey I. Webb, Damien Brain
    Generality Is Predictive of Prediction Accuracy. [Citation Graph (0, 0)][DBLP]
    Selected Papers from AusDM, 2006, pp:1-13 [Conf]
  19. Murlikrishna Viswanathan, Geoffrey I. Webb
    Classification Learning Using All Rules. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:149-159 [Conf]
  20. Ying Yang, Geoffrey I. Webb
    Proportional k-Interval Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:564-575 [Conf]
  21. Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
    To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:533-544 [Conf]
  22. James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian Garner
    Experimentation and Self Learning in Continuous Database Marketing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:775-778 [Conf]
  23. Zhihai Wang, Geoffrey I. Webb
    Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:490-497 [Conf]
  24. Ying Yang, Geoffrey I. Webb
    Non-Disjoint Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:666-673 [Conf]
  25. Fei Zheng, Geoffrey I. Webb
    Efficient lazy elimination for averaged one-dependence estimators. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1113-1120 [Conf]
  26. Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:493-502 [Conf]
  27. Douglas A. Newlands, Geoffrey I. Webb
    Polygonal Inductive Generalisation System. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:587-592 [Conf]
  28. Geoffrey I. Webb
    Decision Tree Grafting. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:846-851 [Conf]
  29. Geoffrey I. Webb
    Decision Tree Grafting From the All Tests But One Partition. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:702-707 [Conf]
  30. Mark Kuzmycz, Geoffrey I. Webb
    Evaluation of Feature Based Modelling in Subtraction. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 1992, pp:269-276 [Conf]
  31. Geoffrey I. Webb, Mark Kuzmycz
    Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 1998, pp:384-393 [Conf]
  32. Geoffrey I. Webb
    Efficient search for association rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:99-107 [Conf]
  33. Geoffrey I. Webb
    Discovering associations with numeric variables. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:383-388 [Conf]
  34. Geoffrey I. Webb
    Discovering significant rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:434-443 [Conf]
  35. Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands
    On detecting differences between groups. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:256-265 [Conf]
  36. Shiying Huang, Geoffrey I. Webb
    Pruning Derivative Partial Rules During Impact Rule Discovery. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:71-80 [Conf]
  37. Douglas A. Newlands, Geoffrey I. Webb
    Convex Hulls in Concept Induction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:306-316 [Conf]
  38. Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang
    A New Restricted Bayesian Network Classifier. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:265-270 [Conf]
  39. Dhananjay R. Thiruvady, Geoffrey I. Webb
    Mining Negative Rules Using GRD. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:161-165 [Conf]
  40. Zhihai Wang, Geoffrey I. Webb, Fei Zheng
    Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:319-328 [Conf]
  41. Ying Yang, Geoffrey I. Webb
    Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:501-512 [Conf]
  42. Zijian Zheng, Geoffrey I. Webb
    Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:123-132 [Conf]
  43. Damien Brain, Geoffrey I. Webb
    The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:62-73 [Conf]
  44. Geoffrey I. Webb
    Cost-Sensitive Specialization. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:23-34 [Conf]
  45. Shiying Huang, Geoffrey I. Webb
    Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  46. Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb
    Identifying Approximate Itemsets of Interest in Large Databases. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:1, pp:91-104 [Journal]
  47. Geoffrey I. Webb
    Further Experimental Evidence against the Utility of Occam's Razor [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  48. Geoffrey I. Webb, Songmao Zhang
    K-Optimal Rule Discovery. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:10, n:1, pp:39-79 [Journal]
  49. Geoffrey I. Webb
    A Knowledge-Based Approach to Computer-Aided Learning. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1988, v:29, n:3, pp:257-285 [Journal]
  50. Honghua Dai, Geoffrey I. Webb
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    International Journal of Software Engineering and Knowledge Engineering, 2004, v:14, n:4, pp:365-368 [Journal]
  51. Geoffrey I. Webb
    Further Experimental Evidence against the Utility of Occam's Razor. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1996, v:4, n:, pp:397-417 [Journal]
  52. Geoffrey I. Webb
    Integrating machine learning with knowledge acquisition through direct interaction with domain experts. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1996, v:9, n:4, pp:253-266 [Journal]
  53. Geoffrey I. Webb
    MultiBoosting: A Technique for Combining Boosting and Wagging. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:40, n:2, pp:159-196 [Journal]
  54. Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang
    Not So Naive Bayes: Aggregating One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:58, n:1, pp:5-24 [Journal]
  55. Geoffrey I. Webb, Kai Ming Ting
    On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:58, n:1, pp:25-32 [Journal]
  56. Geoffrey I. Webb, Jason Wells, Zijian Zheng
    An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:35, n:1, pp:5-23 [Journal]
  57. Zijian Zheng, Geoffrey I. Webb
    Lazy Learning of Bayesian Rules. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:1, pp:53-84 [Journal]
  58. Geoffrey I. Webb, Zijian Zheng
    Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2004, v:16, n:8, pp:980-991 [Journal]
  59. Bark Cheung Chiu, Geoffrey I. Webb
    Using Decision Trees for Agent Modeling: Improving Prediction Performance. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:131-152 [Journal]
  60. Geoffrey I. Webb
    Preface to UMUAI Special Issue on Machine Learning for User Modeling. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:1-3 [Journal]
  61. Geoffrey I. Webb, Mark Kuzmycz
    Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1995, v:5, n:2, pp:117-150 [Journal]
  62. Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus
    Machine Learning for User Modeling. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2001, v:11, n:1-2, pp:19-29 [Journal]
  63. Fei Zheng, Geoffrey I. Webb
    Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:490-501 [Conf]
  64. Geoffrey I. Webb
    Finding the Real Patterns. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:6- [Conf]
  65. Geoffrey I. Webb
    Editorial. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:15, n:1, pp:1-2 [Journal]
  66. Geoffrey I. Webb
    Discovering Significant Patterns. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:68, n:1, pp:1-33 [Journal]
  67. Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
    To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:12, pp:1652-1665 [Journal]

  68. Anytime learning and classification for online applications. [Citation Graph (, )][DBLP]


  69. Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. [Citation Graph (, )][DBLP]


  70. FaSS: Ensembles for Stable Learners. [Citation Graph (, )][DBLP]


  71. A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. [Citation Graph (, )][DBLP]


  72. Cascleave: towards more accurate prediction of caspase substrate cleavage sites. [Citation Graph (, )][DBLP]


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