| An intermediate algebra for optimizing RDF graph pattern matching on MapReduce P Ravindra, HS Kim, K Anyanwu The Semanic Web: Research and Applications: 8th Extended Semantic Web …, 2011 | 107 | 2011 |
| From sparql to mapreduce: The journey using a nested triplegroup algebra HS Kim, P Ravindra, K Anyanwu Proceedings of the VLDB Endowment 4 (12), 1426-1429, 2011 | 76 | 2011 |
| Towards scalable RDF graph analytics on MapReduce P Ravindra, VV Deshpande, K Anyanwu Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, 1-6, 2010 | 48 | 2010 |
| Predicting 30-day risk and cost of" all-cause" hospital readmissions S Sushmita, G Khulbe, A Hasan, S Newman, P Ravindra, SB Roy, ... Workshops at the thirtieth AAAI conference on artificial intelligence, 2016 | 43 | 2016 |
| RAPID: Enabling scalable ad-hoc analytics on the semantic web R Sridhar, P Ravindra, K Anyanwu The Semantic Web-ISWC 2009: 8th International Semantic Web Conference, ISWC …, 2009 | 39 | 2009 |
| System and method for shared execution of mixed data flows R Gupta, P Ravindra, P Roy US Patent 8,984,515, 2015 | 30 | 2015 |
| Scan-sharing for optimizing rdf graph pattern matching on mapreduce HS Kim, P Ravindra, K Anyanwu 2012 IEEE Fifth International Conference on Cloud Computing, 139-146, 2012 | 21 | 2012 |
| Type-based semantic optimization for scalable RDF graph pattern matching HS Kim, P Ravindra, K Anyanwu Proceedings of the 26th International Conference on World Wide Web, 785-793, 2017 | 16 | 2017 |
| Algebraic optimization for processing graph pattern queries in the cloud K Anyanwu, HS Kim, P Ravindra IEEE Internet Computing 17 (2), 52-61, 2012 | 16 | 2012 |
| Efficient processing of RDF graph pattern matching on MapReduce platforms P Ravindra, S Hong, HS Kim, K Anyanwu Proceedings of the second international workshop on Data intensive computing …, 2011 | 15 | 2011 |
| Nesting strategies for enabling nimble mapreduce dataflows for large rdf data P Ravindra, K Anyanwu International Journal on Semantic Web and Information Systems (IJSWIS) 10 (1 …, 2014 | 9 | 2014 |
| To nest or not to nest, when and how much: Representing intermediate results of graph pattern queries in mapreduce based processing P Ravindra, HS Kim, K Anyanwu Proceedings of the 4th International Workshop on Semantic Web Information …, 2012 | 9 | 2012 |
| Optimization of Complex SPARQL Analytical Queries. P Ravindra, HS Kim, K Anyanwu EDBT, 257-268, 2016 | 8 | 2016 |
| Syrql: A dataflow language for large scale processing of RDF data F Maali, P Ravindra, K Anyanwu, S Decker The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014 | 8 | 2014 |
| Optimizing RDF (S) queries on cloud platforms HS Kim, P Ravindra, K Anyanwu Proceedings of the 22nd International Conference on World Wide Web, 261-264, 2013 | 8 | 2013 |
| Scaling Unbound-Property Queries on Big RDF Data Warehouses using MapReduce. P Ravindra, K Anyanwu EDBT, 169-180, 2015 | 7 | 2015 |
| A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop HS Kim, P Ravindra, K Anyanwu 2017 IEEE International Conference on Big Data (Big Data), 193-202, 2017 | 6 | 2017 |
| Towards optimization of RDF analytical queries on MapReduce P Ravindra 2014 IEEE 30th International Conference on Data Engineering Workshops, 335-339, 2014 | 6 | 2014 |
| System and method for shared execution of mixed data flows R Gupta, P Ravindra, P Roy US Patent 8,984,516, 2015 | 5 | 2015 |
| Scalable processing of flexible graph pattern queries on the cloud P Ravindra, K Anyanwu Proceedings of the 22nd International Conference on World Wide Web, 169-170, 2013 | 5 | 2013 |
Kemafor AnyanwuNorth Carolina State UniversityZweryfikowany adres z ncsu.edu
