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PUBLICATIONS


Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, and Volker Markl. 2016. Bridging the gap: towards optimization across linear and relational algebra. In Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR '16). ACM, New York, NY, USA, , Article 1 , 4 pages. DOI: http://dx.doi.org/10.1145/2926534.2926540

Alexander Alexandrov, Andreas Salzmann, Georgi Krastev, Asterios Katsifodimos, and Volker Markl. 2016. Emma in Action: Declarative Dataflows for Scalable Data Analysis. In Proceedings of the 2016 International Conference on Management of Data (SIGMOD '16). ACM, New York, NY, USA, 2073-2076. DOI: https://doi.org/10.1145/2882903.2899396

Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, and Volker Markl. 2016. Implicit Parallelism through Deep Language Embedding. SIGMOD Rec. 45, 1 (June 2016), 51-58. DOI: http://dx.doi.org/10.1145/2949741.2949754

Ignacio García, Rubén Casado and Abdelhamid Bouchachia, "An Incremental Approach for Real-Time Big Data Visual Analytics," IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, 2016, pp. 177-182. DOI: https://doi.org/10.1109/W-FiCloud.2016.46

Roberto Díaz Morales and Ángel Navia Vázquez, "Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization", Pattern Recognition Letters, Volume 84, 1 December 2016, Pages 91-98, ISSN 0167-8655. DOI: http://dx.doi.org/10.1016/j.patrec.2016.08.015

S. Mohamad; A. Bouchachia; M. Sayed-Mouchaweh, "A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams," in IEEE Transactions on Neural Networks and Learning Systems , vol.PP, no.99, pp.1-13. DOI: https://doi.org/10.1109/TNNLS.2016.2614393 

S. Mohamad, A. Bouchachia and M. Sayed-Mouchaweh, "A non-parametric hierarchical clustering model," 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Douai, 2015, pp. 1-7. DOI: https://doi.org/10.1109/EAIS.2015.7368803

Jamil, W., Kalnishkan, Y. and Bouchachia, A., 2016. "Aggregation Algorithm Vs. Average for Time Series Prediction". In: ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016), 19-23 September 2016, Riva del Garda, Italy. Open Access at: http://eprints.bournemouth.ac.uk/24798/

Saad Mohamad, Moamar Sayed-Mouchaweh and Abdelhamid Bouchachia, 2016. "Active Learning for Data Streams under Concept Drift and concept evolution". In: ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016), 19-23 September 2016, Riva del Garda, Italy.