| Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning R Harbi, I Abdelaziz, P Kalnis, N Mamoulis, Y Ebrahim, M Sahli The VLDB Journal 25 (3), 355-380, 2016 | 83 | 2016 |
| Parallel motif extraction from very long sequences M Sahli, E Mansour, P Kalnis Proceedings of the 22nd ACM international conference on Information …, 2013 | 17 | 2013 |
| ACME: A scalable parallel system for extracting frequent patterns from a very long sequence M Sahli, E Mansour, P Kalnis The VLDB Journal 23 (5), 2014 | 15 | 2014 |
| Automatic Tuning of Bag-of-Tasks Applications M Sahli, E Mansour, T Alturkestani, P Kalnis IEEE ICDE, 2015 | 9 | 2015 |
| Agile Teaching: A case study of using Ruby to teach programming language concepts. MA Sahli, GW Romney Journal of Research in Innovative Teaching 3 (1), 2010 | 6 | 2010 |
| StarDB: a large-scale DBMS for strings M Sahli, E Mansour, P Kalnis VLDB Endowment, 2015 | 5 | 2015 |
| Adaptive partitioning for very large RDF data R Harbi, I Abdelaziz, P Kalnis, N Mamoulis, Y Ebrahim, M Sahli arXiv preprint arXiv:1505.02728, 2015 | 2 | 2015 |
| Querying and Mining Strings Made Easy M Sahli, E Mansour, P Kalnis International Conference on Advanced Data Mining and Applications, 3-17, 2017 | | 2017 |
| Towards a Database System for Large-scale Analytics on Strings M Sahli | | 2015 |
| A Query Language for Large String Processing M Sahli, E Mansour, P Kalnis | | |
Panos KalnisProfessor of Computer Science, King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
