| Orca: a modular query optimizer architecture for big data MA Soliman, L Antova, V Raghavan, A El-Helw, Z Gu, E Shen, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 116 | 2014 |
| Greenplum: a hybrid database for transactional and analytical workloads Z Lyu, HH Zhang, G Xiong, G Guo, H Wang, J Chen, A Praveen, Y Yang, ... Proceedings of the 2021 International Conference on Management of Data, 2530 …, 2021 | 41 | 2021 |
| Progressive result generation for multi-criteria decision support queries V Raghavan, EA Rundensteiner 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 733-744, 2010 | 30 | 2010 |
| Qrelx: generating meaningful queries that provide cardinality assurance M Vartak, V Raghavan, EA Rundensteiner Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 27 | 2010 |
| Skyline and mapping aware join query evaluation V Raghavan, EA Rundensteiner, S Srivastava Information Systems 36 (6), 917-936, 2011 | 16 | 2011 |
| Refinement driven processing of aggregation constrained queries M Vartak, V Raghavan, E Rundensteiner, S Madden | 13 | 2016 |
| Automatic data placement in mpp databases C Garcia-Alvarado, V Raghavan, S Narayanan, FM Waas 2012 IEEE 28th International Conference on Data Engineering Workshops, 322-327, 2012 | 13 | 2012 |
| FireStream: Sensor stream processing for monitoring fire spread V Raghavan, E Rundensteiner, J Woycheese, A Mukherji 2007 IEEE 23rd International Conference on Data Engineering, 1507-1508, 2006 | 13 | 2006 |
| Optimization of common table expressions in mpp database systems A El-Helw, V Raghavan, MA Soliman, G Caragea, Z Gu, M Petropoulos Proceedings of the VLDB Endowment 8 (12), 1704-1715, 2015 | 12 | 2015 |
| Intraoral lipoma: a case report LK Surej Kumar, NM Kurien, VB Raghavan, PV Menon, SA Khalam Case Rep Med 2014, 4, 2014 | 8 | 2014 |
| Image classification in greenplum database using deep learning OR Albertini, D Bhargov, A Denissov, F Guerrero, N Jayaram, N Kak, ... Proceedings of the International Conference on Management of Data, 1-4, 2020 | 6 | 2020 |
| Metadata cache supporting multiple heterogeneous systems L Antova, F Waas, S Narayanan, V Raghavan, M Soliman, K Krikellas US Patent 8,688,703, 2014 | 6 | 2014 |
| Data movement driven automatic data placement C Garcia-Alvarado, V Raghavan, S Narayanan, F Waas US Patent 8,996,505, 2015 | 5 | 2015 |
| A new look at generating multi-join continuous query plans: A qualified plan generation problem Y Zhu, V Raghavan, EA Rundensteiner Data & Knowledge Engineering 69 (5), 424-443, 2010 | 5 | 2010 |
| Multi-join continuous query optimization: Covering the spectrum of linear, acyclic, and cyclic queries V Raghavan, Y Zhu, EA Rundensteiner, D Dougherty Dataspace: The Final Frontier: 26th British National Conference on Databases …, 2009 | 5 | 2009 |
| Snif tool: sniffing for patterns in continuous streams A Mukherji, EA Rundensteiner, DC Brown, V Raghavan Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 5 | 2008 |
| Query plan generation for queries having common expressions ELH Amr, V Raghavan, MF Soliman, GC Caragea, M Petropoulos US Patent 9,501,536, 2016 | 4 | 2016 |
| CAQE: A Contract Driven Approach to Processing Concurrent Decision Support Queries. V Raghavan, EA Rundensteiner EDBT, 121-132, 2014 | 3 | 2014 |
| Supporting multi-criteria decision support queries over time-interval data streams NH Park, V Raghavan, EA Rundensteiner Database and Expert Systems Applications: 21st International Conference …, 2010 | 3 | 2010 |
| SkyDB: Skyline aware query evaluation framework V Raghavan, E Rundensteiner IDAR, 2009 | 3 | 2009 |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; WorcesterVerified email at wpi.edu
