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Publications of Author

1. Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. Witten
   The Development of Holte's 1R Classifier. [Citation Graph (0, 0)][DBLP]
   ANNES, 1995, pp:239-242 [Conf]
   
2. Geoffrey Holmes, Mark Hall, Eibe Frank
   Generating Rule Sets from Model Trees. [Citation Graph (0, 0)][DBLP]
   Australian Joint Conference on Artificial Intelligence, 1999, pp:1-12 [Conf]
   
3. Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
   Multinomial Naive Bayes for Text Categorization Revisited. [Citation Graph (0, 0)][DBLP]
   Australian Conference on Artificial Intelligence, 2004, pp:488-499 [Conf]
   
4. Mi Li, Geoffrey Holmes, Bernhard Pfahringer
   Clustering Large Datasets Using Cobweb and K-Means in Tandem. [Citation Graph (0, 0)][DBLP]
   Australian Conference on Artificial Intelligence, 2004, pp:368-379 [Conf]
   
5. Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger
   Wrapping Boosters against Noise. [Citation Graph (0, 0)][DBLP]
   Australian Joint Conference on Artificial Intelligence, 2001, pp:402-413 [Conf]
   
6. W. J. Teahan, Stuart Inglis, John G. Cleary, Geoffrey Holmes
   Correcting English Text Using PPM Models. [Citation Graph (0, 0)][DBLP]
   Data Compression Conference, 1998, pp:289-298 [Conf]
   
7. Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall
   Racing Committees for Large Datasets. [Citation Graph (0, 0)][DBLP]
   Discovery Science, 2002, pp:153-164 [Conf]
   
8. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall
   Multiclass Alternating Decision Trees. [Citation Graph (0, 0)][DBLP]
   ECML, 2002, pp:161-172 [Conf]
   
9. Geoffrey Holmes, Dale Fletcher
   An Instrument Control System Using Predictive Modelling. [Citation Graph (0, 0)][DBLP]
   ICINCO (1), 2004, pp:292-295 [Conf]
   
10. Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
    Optimizing the Induction of Alternating Decision Trees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:477-487 [Conf]
    
11. Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
    Stress-Testing Hoeffding Trees. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:495-502 [Conf]
    
12. Eibe Frank, Mark Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
    Data mining in bioinformatics using Weka. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:15, pp:2479-2481 [Journal]
    
13. Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten
    Interactive machine learning: letting users build classifiers. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 2001, v:55, n:3, pp:281-292 [Journal]
    
14. Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
    Naive Bayes for Regression (Technical Note). [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:1, pp:5-25 [Journal]
    
15. Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten
    Using Model Trees for Classification. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:32, n:1, pp:63-76 [Journal]
    
16. Mark Hall, Geoffrey Holmes
    Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2003, v:15, n:6, pp:1437-1447 [Journal]
    
17. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby
    Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. [Citation Graph (0, 0)][DBLP]
    CITA, 2005, pp:130-36 [Conf]
    
18. 
    New Options for Hoeffding Trees. [Citation Graph (, )][DBLP]
    
    
19. 
    Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. [Citation Graph (, )][DBLP]
    
    
20. 
    The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. [Citation Graph (, )][DBLP]
    
    
21. 
    Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. [Citation Graph (, )][DBLP]
    
    
22. 
    Multi-label Classification Using Ensembles of Pruned Sets. [Citation Graph (, )][DBLP]
    
    
23. 
    Organizing the World's Machine Learning Information. [Citation Graph (, )][DBLP]
    
    
24. 
    Analysing chromatographic data using data mining to monitor petroleum content in water. [Citation Graph (, )][DBLP]
    
    
25. 
    New ensemble methods for evolving data streams. [Citation Graph (, )][DBLP]
    
    
26. 
    Handling Numeric Attributes in Hoeffding Trees. [Citation Graph (, )][DBLP]
    
    
27. 
    Fast Perceptron Decision Tree Learning from Evolving Data Streams. [Citation Graph (, )][DBLP]
    
    
28. 
    Classifier Chains for Multi-label Classification. [Citation Graph (, )][DBLP]
    
    
29. 
    Leveraging Bagging for Evolving Data Streams. [Citation Graph (, )][DBLP]
    
    
30. 
    Learning from the Past with Experiment Databases. [Citation Graph (, )][DBLP]
    
    
31. 
    Improving Adaptive Bagging Methods for Evolving Data Streams. [Citation Graph (, )][DBLP]