Synopses for massive data: Samples, histograms, wavelets, sketches G Cormode, M Garofalakis, PJ Haas, C Jermaine Foundations and Trends® in Databases 4 (1–3), 1-294, 2011 | 684 | 2011 |
Conditional anomaly detection X Song, M Wu, C Jermaine, S Ranka IEEE Transactions on knowledge and Data Engineering 19 (5), 631-645, 2007 | 551 | 2007 |
Mcdb: a monte carlo approach to managing uncertain data R Jampani, F Xu, M Wu, LL Perez, C Jermaine, PJ Haas Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 371 | 2008 |
Online aggregation for large mapreduce jobs N Pansare, V Borkar, C Jermaine, T Condie Proceedings of the VLDB Endowment 4 (11), 1135-1145, 2011 | 243 | 2011 |
Scalable approximate query processing with the DBO engine C Jermaine, S Arumugam, A Pol, A Dobra ACM Transactions on Database Systems (TODS) 33 (4), 1-54, 2008 | 204 | 2008 |
Neural sketch learning for conditional program generation V Murali, L Qi, S Chaudhuri, C Jermaine arXiv preprint arXiv:1703.05698, 2017 | 183* | 2017 |
Statistical change detection for multi-dimensional data X Song, M Wu, C Jermaine, S Ranka Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 176 | 2007 |
Efficient data allocation over multiple channels at broadcast servers WG Yee, SB Navathe, E Omiecinski, C Jermaine IEEE Transactions on Computers 51 (10), 1231-1236, 2002 | 167 | 2002 |
Scalable linear algebra on a relational database system S Luo, ZJ Gao, M Gubanov, LL Perez, C Jermaine ACM SIGMOD Record 47 (1), 24-31, 2018 | 146 | 2018 |
The DataPath system: a data-centric analytic processing engine for large data warehouses S Arumugam, A Dobra, CM Jermaine, N Pansare, L Perez Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 137 | 2010 |
Outlier detection by sampling with accuracy guarantees M Wu, C Jermaine Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 124 | 2006 |
Simulation of database-valued Markov chains using SimSQL Z Cai, Z Vagena, L Perez, S Arumugam, PJ Haas, C Jermaine Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 116 | 2013 |
The partitioned exponential file for database storage management C Jermaine, E Omiecinski, WG Yee The VLDB Journal 16, 417-437, 2007 | 89 | 2007 |
Declarative recursive computation on an rdbms, or, why you should use a database for distributed machine learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao arXiv preprint arXiv:1904.11121, 2019 | 81 | 2019 |
A comparison of platforms for implementing and running very large scale machine learning algorithms Z Cai, ZJ Gao, S Luo, LL Perez, Z Vagena, C Jermaine Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 75 | 2014 |
A novel index supporting high volume data warehouse insertion C Jermaine, A Datta, E Omiecinski VLDB 99, 235-246, 1999 | 75 | 1999 |
Closest-point-of-approach join for moving object histories S Arumugam, C Jermaine 22nd International Conference on Data Engineering (ICDE'06), 86-86, 2006 | 70 | 2006 |
The latent community model for detecting sybil attacks in social networks Z Cai, C Jermaine Proc. NDSS, 2012 | 66 | 2012 |
Bayesian specification learning for finding API usage errors V Murali, S Chaudhuri, C Jermaine Proceedings of the 2017 11th joint meeting on foundations of software …, 2017 | 64 | 2017 |
History-aware query optimization with materialized intermediate views LL Perez, CM Jermaine 2014 IEEE 30th International Conference on Data Engineering, 520-531, 2014 | 61 | 2014 |