Publications
2011
Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Ricard Gavaldà: Mining Frequent Closed Graphs on Evolving Data Streams. 17th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining KDD'11.
Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes and Bernhard Pfahringer: An Effective Evaluation Measure for Clustering on Evolving Data Stream. 17th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining KDD'11.
Indrė Žliobaitė, Albert Bifet, Bernhard Pfahringer and Geoff Holmes: Active learning with evolving streaming data. Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2011.
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, and Thomas Seidl. MOA: a Real-time Analytics Open Source Framework. Demo at Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2011
Albert Bifet, Ricard Gavaldà: Mining frequent closed trees in evolving data streams. Intell. Data Anal. 15(1): 29-48 (2011)
2010
Albert Bifet, Geoff Holmes, and Bernhard Pfahringer. Leveraging Bagging for Evolving Data Streams. [pdf] | ECML PKDD 2010, Barcelona, Catalonia, 2010.
Albert Bifet, Eibe Frank, Geoff Holmes, and Bernhard Pfahringer. "Accurate ensembles for data streams: Combining restricted Hoeffding trees using stacking." [pdf] Proc 2nd Asian Conference on Machine Learning, Tokyo. JMLR, 2010.
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
José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales Bueno, Albert Bifet: GNUsmail: Open Framework for On-line Email Classification. ECAI 2010: 1141-1142
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". [pdf] Workshop on Applications of Pattern Analysis, JMLR, 2010.
Albert Bifet and Eibe Frank. "Sentiment knowledge discovery in Twitter streaming data". [pdf] Proc 13th International Conference on Discovery Science, Canberra, Australia.
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." [pdf] Pechenizkiy, M. and Žliobaitė, I. (eds), HaCDAIS Workshop ECML-PKDD 2010, 2010.
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, and Eibe Frank. "Fast Perceptron Decision Tree Learning from Evolving Data Streams" [pdf] Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010.
Albert Bifet, Geoff Holmes, Richard Kirkby, and Bernhard Pfahringer. "MOA: Massive online analysis." Journal of Machine Learning Research (JMLR), 2010.
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Mining Frequent Closed Rooted Trees ". [pdf] | Machine Learning Journal (78:1), 2010, 1-33.
2009
Albert Bifet Thesis: Adaptive Learning and Mining for Data Streams and Frequent Patterns Advised by Ricard Gavaldà and José Luis Balcázar.
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Richard Kirkby, and Ricard Gavaldà: " New ensemble methods for evolving data streams" . In 15th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, and Ricard Gavaldà: "Improving Adaptive Bagging Methods for Evolving Data Streams" . In First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2009.
Albert Bifet and Ricard Gavaldà: " Adaptive XML Tree Classification on Evolving Data Streams". [pdf] | ECML PKDD 2009
Albert Bifet and Ricard Gavaldà: " Adaptive Learning from Evolving Data Streams". | IDA 2009 | Extended Version Technical Report LSI R09-9
Albert Bifet: Adaptive learning and mining for data streams and frequent patterns. SIGKDD Explorations 11(1): 55-56 (2009)
2008
Albert Bifet and Ricard Gavaldà: " Mining adaptively frequent closed unlabeled rooted trees in data streams". [pdf] | [Software] | [Datasets] | [Slides] . In 14th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, USA, August 2008.
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Mining Implications from Lattices of Closed Trees ". [pdf]| [slides] | Extraction et Gestion des Connaissances EGC'2008, Sophia Antipolis, France.
2007
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Closed and maximal tree mining using natural representations". [pdf] | Workshop on Mining and Learning with Graphs MLG 2007.
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Subtree Testing and Closed Tree Mining Through Natural Representations ". [pdf] | ACKE Workshop on "Advances in Conceptual Knowledge Engineering" 2007, Regensburg, Germany.
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Mining Frequent Closed Unordered Trees Through Natural Representations ". [pdf] | [slides] | In 2007 International Conference on Conceptual Structures, Sheffield UK.
Albert Bifet and Ricard Gavaldà: " Learning from Time-Changing Data with Adaptive Windowing". [pdf] | [pdf extended version] . Poster. In 2007 SIAM International Conference on Data Mining (SDM'07), Minneapolis, Minnesota.
2006
Albert Bifet and Ricard Gavaldà: " Kalman Filters and Adaptive Windows for Learning in Data Streams ". [pdf] | [pdf extended version]| [slides] | Proc. 9th International Conference on Discovery Sicence (DS 2006). Springer-Verlag Lecture Notes in Artificial Intelligence 4265, 29-40.
José Luis Balcázar, Albert Bifet and Antoni Lozano: " Intersection Algorithms and a Closure Operator on Unordered Trees ". [pdf] | Workshop Mining and Learning with Graphs MLG 2006.
Manuel Baena-García, José del Campo-Ávila, Raúl Fidalgo, Albert Bifet , Ricard Gavaldà and Rafael Morales-Bueno: " Early Drift Detection Method ". [pdf] | ECML PKDD Workshop on Knowledge Discovery from Data Streams 2006.
2005
Albert Bifet, Carlos Castillo, Paul-Alexandru Chirita and Ingmar Weber: " An Analysis of Factors Used in Search Engine Ranking".| [pdf] | [slides] Workshop on Adversarial Information Retrieval on the Web (synopsis), 2005.
Some of the published articles may be covered by copyright. This the case, at least, for papers published by Springer, ACM, and IEEE. You may browse the articles at your convenience, in the same spirit as you may read a journal or a proceedings volume in a public library. Retrieving, copying, or distributing these files may violate the copyright protection law.


