( en | de | ru )

 

Disambiguation of "Pfahringer, Bernhard"

Author of the publication

copydeleteadd this publication to your clipboard
Stream Data Mining Using the MOA Framework.

, , , , , , , and . DASFAA (2), volume 7239 of Lecture Notes in Computer Science, page 309-313. Springer, (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernhard Füger

Neue heterocyclische Sulfoximine. TU Aachen, (2009)

Bernhard Baum

The well-tempered thrombin: a systematic crystallographic and calorimetric study on the thermodynamics of serine-protease inhibition. Uni Marburg, (2009)

Bernhard Liekenbrock

Bernhard Pospichal

Bernhard Küster

 

Other publications of authors with the same name

Pruning Incremental Linear Model Trees with Approximate Lookahead., , and . IEEE Trans. Knowl. Data Eng., 26 (8): 2072-2076 (2014)Extending Explanation-Based Generalization.. ÖGAI, volume 208 of Informatik-Fachberichte, page 149-153. Springer, (1989)The MOA Data Stream Mining Tool: A Mid-Term Report.. MLSDA@AUS-AI, page 3. ACM, (2013)Semi-supervised Learning Using Siamese Networks., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 586-597. Springer, (2019)On Dynamic Feature Weighting for Feature Drifting Data Streams., , , , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 129-144. Springer, (2016)Transferring sentiment knowledge between words and tweets., , and . Web Intell., 16 (4): 203-220 (2018)Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams., , and . CITA, page 130-36. (2005)Efficient Online Evaluation of Big Data Stream Classifiers., , , , and . KDD, page 59-68. ACM, (2015)MOA Concept Drift Active Learning Strategies for Streaming Data., , , and . WAPA, volume 17 of JMLR Proceedings, page 48-55. JMLR.org, (2011)WEKA - A Machine Learning Workbench for Data Mining., , , , and . The Data Mining and Knowledge Discovery Handbook, Springer, (2005)