Research Publications for Albert C Bifet

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Publications ByBIFET, Albert C

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  • 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). Sydney, Australia: ACM. doi:10.1145/2783258.2783372

  • 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). Killarney, Ireland: IEEE. doi:10.1109/IJCNN.2015.7280583

  • 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

  • Bifet, A., Frank, E., Holmes, G., & Pfahringer, B. (2012). Ensembles of restricted Hoeffding trees. ACM Transactions on Intelligent Systems and Technology, 3(2), 1-20. doi:10.1145/2089094.2089106

  • Read, J., Bifet, A., Holmes, G., & Pfahringer, B. (2012). Scalable and efficient multi-label classification for evolving data streams. Machine Learning, 88(1-2), 243-272. doi:10.1007/s10994-012-5279-6

  • Read, J., Bifet, A., Pfahringer, B., & Holmes, G. (2012). Batch-incremental versus instance-incremental learning in dynamic and evolving data. In J. Hollm, 233, F. K. n, & A. Tucker (Eds.), Proc 11th International Symposium on Advances in Intelligent Data Analysis XI Vol. LNCS 7619 (pp. 313-323). Berlin: Springer. doi:10.1007/978-3-642-34156-4_29

  • Carmona-Cejudo, J. M., Baena-Garc¿a, M., del Campo-¿vila, J., Bifet, A., Gama, J., & Morales-Bueno, R. (2011). Online evaluation of email streaming classifiers using GNUsmail. In J. Gama, E. Bradley, & J. Hollmen (Eds.), Proc 10th International Symposium on Advances in Intelligent Data Analysis X Vol. LNCS 7014 (pp. 90-100). Berlin: Springer. doi:10.1007/978-3-642-24800-9_11

  • Carmona-Cejudo, J. M., Baena-García, M., del Campo-Ávila, J., Morales-Bueno, R., Gama, J., & Bifet, A. (2011). Using GNUsmail to compare data stream mining methods for on-line email classification. In T. Diethe, J. L. Balc, 225, J. S. T. zar, C. T, 238, . . . 259 (Eds.), 2nd Workshop on Applications of Pattern Analysis Vol. JMLR Workshop and Conference Proceedings 17 (pp. 12-18). Conference held at Castro Urdiales, Spain: JMLR.

  • Bifet, A., Holmes, G., Pfahringer, B., & Gavaldà, R. (2011). Detecting sentiment change in Twitter streaming data. In T. Diethe, J. L. Balc, 225, J. S. T. zar, C. T, 238, . . . 259 (Eds.), 2nd Workshop on Applications of Pattern Analysis Vol. JMLR Workshop and Conference Proceedings 17 (pp. 5-11). Conference held at Castro Urdiales, Spain: JMLR. Retrieved from http://jmlr.csail.mit.edu/proceedings/papers/v17/

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