Contact Details

Email: abifet@waikato.ac.nz
Website: http://albertbifet.com/

About Albert

Albert is a Research Associate with the Department of Computer Science. He works at HUAWEI Noah's Ark Lab, Hong Kong.

Recent Publications

• Sakthithasan, S., Pears, R., Bifet, A., & Pfahringer, B. (2015). Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. In Proc 2015 International Joint Conference on Neural Networks (pp. 1-8). Conference held Killarney, Ireland: IEEE. doi:10.1109/IJCNN.2015.7280583 Open Access version: https://hdl.handle.net/10289/11224

• Bifet, A., de Francisci Morales, G., Read, J., Holmes, G., & Pfahringer, B. (2015). Efficient online evaluation of big data stream classifiers. In Proc 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 59-68). Conference held Sydney, Australia: ACM. doi:10.1145/2783258.2783372 Open Access version: https://hdl.handle.net/10289/10145

• Ienco, D., Bifet, A., Pfahringer, B., & Poncelet, P. (2014). Détection de changements dans des flots de données qualitatives. Revue des Nouvelles Technologies de l'Information, EGC 2014, RNTI-E-26, 517-520. Retrieved from http://editions-rnti.fr/?inprocid=1001968

• Kranen, P., Kremer, H., Jansen, T., Seidl, T., Bifet, A., Holmes, G., . . . Read, J. (2012). Stream data mining using the MOA framework. In S. G. Lee, Z. Peng, X. Zhou, Y. S. Moon, R. Unland, & J. Yoo (Eds.), Proc 17th International Conference on Database Systems for Advanced Applications Vol. LNCS 7239 (pp. 309-313). Germany: Springer. doi:10.1007/978-3-642-29035-0_27

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