Research Trends in Big Data Analysis
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Elsevier
Reference14 articles.
1. Altomare, A., Cesario, E., Comito, C., Marozzo, F., Talia, D., 2014. Trajectory pattern mining over a Cloud-based framework for urban computing. In: Proceedings of the 16th International Conference on High Performance Computing and Communications (HPCC 2014), IEEE, Paris, France, pp. 367–374.
2. Cesario, E., Congedo, C., Marozzo, F., Riotta, G., Spada, A., Talia, D., Trunfio, P., Turri, C., 2015. Following soccer fans from geotagged tweets at FIFA world cup 2014. In: Proceedings of the 2nd IEEE Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM 2015), Fuzhou, China, pp. 33–38.
3. Comito, C., Falcone, D., Talia, D., 2015. Mining popular travel routes from social network geo-tagged data. In: Damiani, E., Howlett, R.J., Jain, L.C., Gallo, L., De Pietro, G. (Eds.), Intelligent interactive multimedia systems and services, pp. 81–95.
4. A survey of parallel programming models and tools in the multi and many-core era;Diaz;IEEE Trans. Parallel Distr. Syst.,2012
5. Falcone, D., Mascolo, C., Comito, C., Talia, D., Crowcroft, J., 2014. What is this place? Inferring place categories through user patterns identification in geo-tagged tweets. In: Proceedings of the International Conference on Mobile Computing, Applications, and Services (MobiCASE 2014), Austin, TX, USA.
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