Bernhard Pfahringer

	2012
81		Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read: Stream Data Mining Using the MOA Framework. DASFAA (2) 2012: 309-313
80		Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer: Ensembles of Restricted Hoeffding Trees. ACM TIST 3(2): 30 (2012)
79		Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Experiment databases - A new way to share, organize and learn from experiments. Machine Learning 87(2): 127-158 (2012)
	2011
78		Bernhard Pfahringer: Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method. Australasian Conference on Artificial Intelligence 2011: 231-240
77		Quan Sun, Bernhard Pfahringer: Bagging Ensemble Selection. Australasian Conference on Artificial Intelligence 2011: 251-260
76		Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith: Using the online cross-entropy method to learn relational policies for playing different games. CIG 2011: 182-189
75		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer: MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Discovery Science 2011: 46-60
74		Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes: Active Learning with Evolving Streaming Data. ECML/PKDD (3) 2011: 597-612
73		Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) 2011: 617-620
72		Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà: Mining frequent closed graphs on evolving data streams. KDD 2011: 591-599
71		Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: An effective evaluation measure for clustering on evolving data streams. KDD 2011: 868-876
70		Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: Streaming Multi-label Classification. Journal of Machine Learning Research - Proceedings Track 17: 19-25 (2011)
69		Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: MOA Concept Drift Active Learning Strategies for Streaming Data. Journal of Machine Learning Research - Proceedings Track 17: 48-55 (2011)
68		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà: Detecting Sentiment Change in Twitter Streaming Data. Journal of Machine Learning Research - Proceedings Track 17: 5-11 (2011)
67		Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank: Classifier chains for multi-label classification. Machine Learning 85(3): 333-359 (2011)
	2010
66		Bernhard Pfahringer, Geoffrey Holmes, Achim G. Hoffmann: Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010. Proceedings Springer 2010
65		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer: Leveraging Bagging for Evolving Data Streams. ECML/PKDD (1) 2010: 135-150
64		Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops 2010: 1400-1403
63		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank: Fast Perceptron Decision Tree Learning from Evolving Data Streams. PAKDD (2) 2010: 299-310
62		Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg: Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1269-1277
61		Bernhard Pfahringer: Conjunctive Normal Form. Encyclopedia of Machine Learning 2010: 209-210
60		Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer: MOA: Massive Online Analysis. Journal of Machine Learning Research 11: 1601-1604 (2010)
59		Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten: WEKA - Experiences with a Java Open-Source Project. Journal of Machine Learning Research 11: 2533-2541 (2010)
58		Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Journal of Machine Learning Research - Proceedings Track 11: 44-50 (2010)
57		Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer: Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. Journal of Machine Learning Research - Proceedings Track 13: 225-240 (2010)
	2009
56		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà: Improving Adaptive Bagging Methods for Evolving Data Streams. ACML 2009: 23-37
55		Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes: The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification. Australasian Conference on Artificial Intelligence 2009: 260-269
54		Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank: Classifier Chains for Multi-label Classification. ECML/PKDD (2) 2009: 254-269
53		Grant Anderson, Bernhard Pfahringer: Relational Random Forests Based on Random Relational Rules. IJCAI 2009: 986-991
52		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà: New ensemble methods for evolving data streams. KDD 2009: 139-148
51		Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten: The WEKA data mining software: an update. SIGKDD Explorations 11(1): 10-18 (2009)
	2008
50		Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes: Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence 2008: 278-288
49		Xing Wu, Geoffrey Holmes, Bernhard Pfahringer: Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence 2008: 355-361
48		Jesse Read, Bernhard Pfahringer, Geoffrey Holmes: Multi-label Classification Using Ensembles of Pruned Sets. ICDM 2008: 995-1000
47		Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Organizing the World's Machine Learning Information. ISoLA 2008: 693-708
46		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Handling Numeric Attributes in Hoeffding Trees. PAKDD 2008: 296-307
45		Grant Anderson, Bernhard Pfahringer: Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning. PAKDD 2008: 494-502
44		Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes: Learning from the Past with Experiment Databases. PRICAI 2008: 485-496
	2007
43		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence 2007: 90-99
42		Grant Anderson, Bernhard Pfahringer: Clustering Relational Data Based on Randomized Propositionalization. ILP 2007: 39-48
41		Bernhard Pfahringer, Claire Leschi, Peter Reutemann: Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. PAKDD 2007: 236-247
	2006
40		Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi: Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD 2006: 60-69
39		Eibe Frank, Bernhard Pfahringer: Improving on Bagging with Input Smearing. PAKDD 2006: 97-106
	2005
38		Stefan Kramer, Bernhard Pfahringer: Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings Springer 2005
37		Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby: Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA 2005: 130-36
36		Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: Stress-Testing Hoeffding Trees. PKDD 2005: 495-502
35		Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314
	2004
34		Peter Reutemann, Bernhard Pfahringer, Eibe Frank: A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Australian Conference on Artificial Intelligence 2004: 1017-1023
33		Mi Li, Geoffrey Holmes, Bernhard Pfahringer: Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence 2004: 368-379
32		Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes: Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499
31		Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)
30		Bernhard Pfahringer: The Weka solution to the 2004 KDD Cup. SIGKDD Explorations 6(2): 117-119 (2004)
	2003
29		Nils Weidmann, Eibe Frank, Bernhard Pfahringer: A Two-Level Learning Method for Generalized Multi-instance Problems. ECML 2003: 468-479
28		Maximilien Sauban, Bernhard Pfahringer: Text Categorisation Using Document Profiling. PKDD 2003: 411-422
27		Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. UAI 2003: 249-256
	2002
26		Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass Alternating Decision Trees. ECML 2002: 161-172
25		Roger Clayton, John G. Cleary, Bernhard Pfahringer, Mark Utting: Tabling Structures for Bottom-Up Logic Programming. LOPSTR 2002: 50-51
	2001
24		Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger: Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence 2001: 402-413
23		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Optimizing the Induction of Alternating Decision Trees. PAKDD 2001: 477-487
22		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. Fundam. Inform. 47(1-2): 1-13 (2001)
	2000
21		Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice. ECAI 2000: 291-295
20		Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier: Meta-Learning by Landmarking Various Learning Algorithms. ICML 2000: 743-750
19		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. ISMIS 2000: 426-434
18		Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, Gerhard Widmer: Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. Cybernetics and Systems 31(6): 649-668 (2000)
17		Bernhard Pfahringer: Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD Explorations 1(2): 65-66 (2000)
	1999
16		Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91
	1998
15		Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94
14		Johannes Fürnkranz, Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence 12(5): 345-361 (1998)
	1997
13		Bernhard Pfahringer: Compression-Based Pruning of Decision Lists. ECML 1997: 199-212
12		Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD 1997: 223-226
	1996
11		Stefan Kramer, Bernhard Pfahringer: Efficient Search for Strong Partial Determinations. KDD 1996: 371-374
	1995
10		Bernhard Pfahringer: A New MDL Measure for Robust Rule Induction (Extended Abstract). ECML 1995: 331-334
9		Bernhard Pfahringer: Compression-Based Discretization of Continuous Attributes. ICML 1995: 456-463
8		Bernhard Pfahringer, Stefan Kramer: Compression-Based Evaluation of Partial Determinations. KDD 1995: 234-239
	1994
7		Bernhard Pfahringer: Controlling Constructive Induction in CIPF: An MDL Approach. ECML 1994: 242-256
6		Bernhard Pfahringer: Robust Constructive Induction. KI 1994: 118-129
	1992
5		Bernhard Pfahringer: The Logical Way to Build a DL-based KR System. Description Logics 1992: 76-77
	1991
4		Ernst Buchberger, Elizabeth Garner, Wolfgang Heinz, Johannes Matiasek, Bernhard Pfahringer: VIE-DU: Dialogue by Unification. ÖGAI 1991: 42-51
	1989
3		Bernhard Pfahringer: Extending Explanation-Based Generalization. ÖGAI 1989: 149-153
	1988
2		Bernhard Pfahringer, M. Hoberstorfer, Robert Trappl: A decision support system for village health workers in developing countries. Applied Artificial Intelligence 2(1): 47-63 (1988)
	1985
1		Bernhard Pfahringer, Christian Holzbaur: VIE-KET: Frames + Prolog. ÖGAI 1985: 132-139

Coauthor Index

1	Grant Anderson	[42] [45] [53]
2	Hilan Bensusan	[20]
3	Albert Bifet	[52] [56] [57] [58] [60] [63] [64] [65] [68] [69] [70] [71] [72] [73] [74] [75] [80] [81]
4	Hendrik Blockeel	[16] [31] [47] [79]
5	Remco R. Bouckaert	[59]
6	Ernst Buchberger	[4]
7	Roger Clayton	[25]
8	John G. Cleary	[25]
9	Kurt Driessens	[40] [76]
10	Saso Dzeroski	[16] [31]
11	Eibe Frank	[26] [27] [29] [32] [34] [35] [39] [51] [54] [57] [59] [62] [63] [67] [80]
12	Johannes Fürnkranz	[14] [18] [21]
13	Elizabeth Garner	[4]
14	Ricard Gavaldà	[52] [56] [68] [72]
15	Christophe G. Giraud-Carrier	[20]
16	Michael de Groeve	[19] [22]
17	Mark A. Hall (Mark Hall)	[26] [27] [35] [51] [59] [62]
18	Wolfgang Heinz	[4]
19	Christoph Helma	[12] [15]
20	M. Hoberstorfer	[2]
21	Achim G. Hoffmann	[66]
22	Geoffrey Holmes (Geoff Holmes)	[23] [24] [26] [32] [33] [35] [36] [37] [43] [44] [46] [47] [48] [49] [50] [51] [52] [54] [55] [56] [57] [58] [59] [60] [62] [63] [64] [65] [66] [67] [68] [69] [70] [71] [72] [73] [74] [75] [79] [80] [81]
23	Christian Holzbaur	[1]
24	Timm Jansen	[58] [64] [71] [73] [81]
25	Hermann Kaindl	[21]
26	Ashraf M. Kibriya	[32]
27	Richard Kirkby	[23] [26] [35] [36] [37] [43] [46] [52] [60] [62]
28	Boris Kompare	[16] [31]
29	Klaus Kovar	[18]
30	Stefan Kramer	[8] [11] [12] [15] [16] [19] [21] [22] [31] [38]
31	Philipp Kranen	[58] [64] [71] [73] [81]
32	Hardy Kremer	[58] [64] [71] [73] [81]
33	Wim Van Laer	[16] [31]
34	Claire Leschi	[40] [41]
35	Mi Li	[33]
36	Johannes Matiasek	[4]
37	Stefan Mutter	[50] [55]
38	Johann Petrak	[18]
39	Jesse Read	[48] [54] [67] [70] [73] [81]
40	Peter Reutemann	[34] [40] [41] [51] [59]
41	Samuel Sarjant	[76]
42	Maximilien Sauban	[28]
43	Gabi Schmidberger	[24]
44	Thomas Seidl	[58] [64] [71] [73] [81]
45	Tony Smith	[76]
46	Quan Sun	[77]
47	Robert Trappl	[2] [18]
48	Leonard E. Trigg (Len Trigg)	[62]
49	Mark Utting	[25]
50	Joaquin Vanschoren	[44] [47] [79]
51	Nils Weidmann	[29]
52	Gerhard Widmer	[18] [19] [22]
53	Ian H. Witten	[51] [59] [62]
54	Xing Wu	[49]
55	Indre Zliobaite	[69] [74]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page