Albert Bifet

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2012
37Ensembles of Restricted Hoeffding Trees. Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer. ACM TIST (3): 30 (2012). Web SearchBibTeXDownload
36Stream Data Mining Using the MOA Framework. Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read. DASFAA (2) 2012, 309-313. Web SearchBibTeXDownload
35Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes. IDA 2012, 313-323. Web SearchBibTeXDownload
34Scalable and efficient multi-label classification for evolving data streams. Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. Machine Learning (88): 243-272 (2012). Web SearchBibTeXDownload
33Next challenges for adaptive learning systems. Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, Joao Gama, Leandro L. Minku, Katarzyna Musial. SIGKDD Explorations (14): 48-55 (2012). Web SearchBibTeXDownload
2011
32MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer. Discovery Science 2011, 46-60. Web SearchBibTeXDownload
31MOA: A Real-Time Analytics Open Source Framework. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. ECML/PKDD (3) 2011, 617-620. Web SearchBibTeXDownload
30Active Learning with Evolving Streaming Data. Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes. ECML/PKDD (3) 2011, 597-612. Web SearchBibTeXDownload
29Online Evaluation of Email Streaming Classifiers Using GNUsmail. José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales Bueno. IDA 2011, 90-100. Web SearchBibTeXDownload
28Mining frequent closed trees in evolving data streams. Albert Bifet, Ricard Gavaldà. Intell. Data Anal. (15): 29-48 (2011). Web SearchBibTeXDownload
27MOA Concept Drift Active Learning Strategies for Streaming Data. Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. Journal of Machine Learning Research - Proceedings Track (17): 48-55 (2011). Web SearchBibTeXDownload
26Detecting Sentiment Change in Twitter Streaming Data. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà. Journal of Machine Learning Research - Proceedings Track (17): 5-11 (2011). Web SearchBibTeXDownload
25Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification. José M. Carmona-Cejudo, Manuel Baena-García, Rafael Morales Bueno, João Gama, Albert Bifet. Journal of Machine Learning Research - Proceedings Track (17): 12-18 (2011). Web SearchBibTeXDownload
24Streaming Multi-label Classification. Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. Journal of Machine Learning Research - Proceedings Track (17): 19-25 (2011). Web SearchBibTeXDownload
23An effective evaluation measure for clustering on evolving data streams. Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. KDD 2011, 868-876. Web SearchBibTeXDownload
22Mining frequent closed graphs on evolving data streams. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà. KDD 2011, 591-599. Web SearchBibTeXDownload
2010
21Sentiment Knowledge Discovery in Twitter Streaming Data. Albert Bifet, Eibe Frank. Discovery Science 2010, 1-15. Web SearchBibTeXDownload
20GNUsmail: Open Framework for On-line Email Classification. José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales Bueno, Albert Bifet. ECAI 2010, 1141-1142. Web SearchBibTeXDownload
19Leveraging Bagging for Evolving Data Streams. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer. ECML/PKDD (1) 2010, 135-150. Web SearchBibTeXDownload
18Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. ICDM Workshops 2010, 1400-1403. Web SearchBibTeXDownload
17MOA: Massive Online Analysis. Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer. Journal of Machine Learning Research (11): 1601-1604 (2010). Web SearchBibTeXDownload
16MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. Journal of Machine Learning Research - Proceedings Track (11): 44-50 (2010). Web SearchBibTeXDownload
15Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer. Journal of Machine Learning Research - Proceedings Track (13): 225-240 (2010). Web SearchBibTeXDownload
14Mining frequent closed rooted trees. José L. Balcázar, Albert Bifet, Antoni Lozano. Machine Learning (78): 1-33 (2010). Web SearchBibTeXDownload
13Fast Perceptron Decision Tree Learning from Evolving Data Streams. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank. PAKDD (2) 2010, 299-310. Web SearchBibTeXDownload
2009
12Improving Adaptive Bagging Methods for Evolving Data Streams. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà. ACML 2009, 23-37. Web SearchBibTeXDownload
11Adaptive XML Tree Classification on Evolving Data Streams. Albert Bifet, Ricard Gavaldà. ECML/PKDD (1) 2009, 147-162. Web SearchBibTeXDownload
10Adaptive Learning from Evolving Data Streams. Albert Bifet, Ricard Gavaldà. IDA 2009, 249-260. Web SearchBibTeXDownload
9New ensemble methods for evolving data streams. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà. KDD 2009, 139-148. Web SearchBibTeXDownload
8Adaptive learning and mining for data streams and frequent patterns. Albert Bifet. SIGKDD Explorations (11): 55-56 (2009). Web SearchBibTeXDownload
2008
7Mining Implications from Lattices of Closed Trees. José L. Balcázar, Albert Bifet, Antoni Lozano. EGC 2008, 373-384. Web SearchBibTeX
6Mining adaptively frequent closed unlabeled rooted trees in data streams. Albert Bifet, Ricard Gavaldà. KDD 2008, 34-42. Web SearchBibTeXDownload
2007
5Subtree Testing and Closed Tree Mining Through Natural Representations. José L. Balcázar, Albert Bifet, Antoni Lozano. DEXA Workshops 2007, 499-503. Web SearchBibTeXDownload
4Mining Frequent Closed Unordered Trees Through Natural Representations. José L. Balcázar, Albert Bifet, Antoni Lozano. ICCS 2007, 347-359. Web SearchBibTeXDownload
3Learning from Time-Changing Data with Adaptive Windowing. Albert Bifet, Ricard Gavaldà. SDM 2007. Web SearchBibTeXDownload
2006
2Kalman Filters and Adaptive Windows for Learning in Data Streams. Albert Bifet, Ricard Gavaldà. Discovery Science 2006, 29-40. Web SearchBibTeXDownload
2005
1An Analysis of Factors Used in Search Engine Ranking. Albert Bifet, Carlos Castillo, Paul-Alexandru Chirita, Ingmar Weber. AIRWeb 2005, 48-57. Web SearchBibTeXDownload
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