| BlinkDB: queries with bounded errors and bounded response times on very large data S Agarwal, B Mozafari, A Panda, H Milner, S Madden, I Stoica Proceedings of the 8th ACM European Conference on Computer Systems, 29-42, 2013 | 731 | 2013 |
| Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems S Agarwal, H Milner, A Kleiner, A Talwalkar, M Jordan, S Madden, ... SIGMOD, 2014 | 179 | 2014 |
| Scaling up crowd-sourcing to very large datasets: a case for active learning B Mozafari, P Sarkar, M Franklin, M Jordan, S Madden Proceedings of the VLDB Endowment 8 (2), 125-136, 2014 | 174 | 2014 |
| On the Evolution of Wikipedia JC Rodrigo B. Almeida, Barzan Mozafari International Conference on Weblogs and Social Media (ICWSM), 2007 | 161* | 2007 |
| Verifying and mining frequent patterns from large windows over data streams B Mozafari, H Thakkar, C Zaniolo ICDE, 179-188, 2008 | 122 | 2008 |
| Blink and it's done: interactive queries on very large data S Agarwal, AP Iyer, A Panda, S Madden, B Mozafari, I Stoica Association for Computing Machinery (ACM), 2012 | 117 | 2012 |
| The analytical bootstrap: a new method for fast error estimation in approximate query processing K Zeng, S Gao, B Mozafari, C Zaniolo Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 91 | 2014 |
| Visualization-aware sampling for very large databases Y Park, M Cafarella, B Mozafari 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 755-766, 2016 | 90 | 2016 |
| Performance and resource modeling in highly-concurrent oltp workloads B Mozafari, C Curino, S Madden Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 89 | 2013 |
| DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud. B Mozafari, C Curino, S Madden CIDR, 2013 | 80 | 2013 |
| High-performance complex event processing over XML streams B Mozafari, K Zeng, C Zaniolo Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012 | 75 | 2012 |
| Verdictdb: Universalizing approximate query processing Y Park, B Mozafari, J Sorenson, J Wang Proceedings of the 2018 International Conference on Management of Data, 1461 …, 2018 | 60 | 2018 |
| A Handbook for Building an Approximate Query Engine. B Mozafari, N Niu IEEE Data Eng. Bull. 38 (3), 3-29, 2015 | 59 | 2015 |
| Database Learning: Toward a Database that Becomes Smarter Every Time Y Park, AS Tajik, M Cafarella, B Mozafari ACM SIGMOD, 2017 | 52 | 2017 |
| Optimal load shedding with aggregates and mining queries B Mozafari, C Zaniolo 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 76-88, 2010 | 49 | 2010 |
| Active learning for crowd-sourced databases B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden arXiv preprint arXiv:1209.3686, 2012 | 47 | 2012 |
| Approximate query engines: Commercial challenges and research opportunities B Mozafari Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 41 | 2017 |
| ABS: a system for scalable approximate queries with accuracy guarantees K Zeng, S Gao, J Gu, B Mozafari, C Zaniolo Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 41 | 2014 |
| CliffGuard: A principled framework for finding robust database designs B Mozafari, EZY Goh, DY Yoon Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 39 | 2015 |
| Snappydata: A hybrid transactional analytical store built on spark J Ramnarayan, B Mozafari, S Wale, S Menon, N Kumar, H Bhanawat, ... Proceedings of the 2016 International Conference on Management of Data, 2153 …, 2016 | 38 | 2016 |
Carlo ZanioloProfessor of Computer Science, University of California, Los AngelesVerified email at cs.ucla.edu
