Abdul Quamar
Abdul Quamar
Research Staff Member, IBM-Research Almaden
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
Sword: scalable workload-aware data placement for transactional workloads
A Quamar, KA Kumar, A Deshpande
Proceedings of the 16th International Conference on Extending Database†…, 2013
1382013
SWORD: workload-aware data placement and replica selection for cloud data management systems
KA Kumar, A Quamar, A Deshpande, S Khuller
The VLDB Journal—The International Journal on Very Large Data Bases 23 (6†…, 2014
912014
NScale: neighborhood-centric large-scale graph analytics in the cloud
A Quamar, A Deshpande, J Lin
The VLDB Journal 25 (2), 125-150, 2016
652016
Scalable progressive analytics on big data in the cloud
B Chandramouli, J Goldstein, A Quamar
Proceedings of the VLDB Endowment 6 (14), 1726-1737, 2013
522013
Deterministic progressive big data analytics
B Chandramouli, J Goldstein, AH Quamar
US Patent 9,514,214, 2016
352016
DETERMINISTIC PROGRESSIVE BIG DATA ANALYTICS
B Chandramouli, J Goldstein, AH Quamar
US Patent 20,140,372,438, 2014
352014
NScale: Neighborhood-centric Analytics on Large Graphs,”
A Quamar, A Deshpande, J Lin
Proceedings of the VLDB Endowment 7 (13), 2014
272014
Natural Language Querying of Complex Business Intelligence Queries
J Sen, F Ozcan, A Quamar, G Stager, A Mittal, M Jammi, C Lei, D Saha, ...
Proceedings of the 2019 International Conference on Management of Data, 1997†…, 2019
192019
Creation and interaction with large-scale domain-specific knowledge bases
S Bharadwaj, L Chiticariu, M Danilevsky, S Dhingra, S Divekar, ...
142017
Ontology-Based Natural Language Query Interfaces for Data Exploration.
C Lei, F ÷zcan, A Quamar, AR Mittal, J Sen, D Saha, ...
IEEE Data Eng. Bull. 41 (3), 52-63, 2018
132018
An Ontology-Based Conversation System for Knowledge Bases
A Quamar, C Lei, D Miller, F Ozcan, J Kreulen, RJ Moore, V Efthymiou
Proceedings of the 2020 ACM SIGMOD International Conference on Management of†…, 2020
122020
ATHENA++: Natural Language Querying for Complex Nested SQL Queries
J Sen, C Lei, A Quamar, F Ozcan, V Efthymiou, A Dalmia, G Stager, ...
Proceedings of the VLDB Endowment 13 (11), 0
12
Quill: efficient, transferable, and rich analytics at scale
B Chandramouli, RC Fernandez, J Goldstein, A Eldawy, A Quamar
Proceedings of the VLDB Endowment 9 (14), 1623-1634, 2016
112016
State of the Art and Open Challenges in Natural Language Interfaces to Data
F Őzcan, A Quamar, J Sen, C Lei, V Efthymiou
Proceedings of the 2020 ACM SIGMOD International Conference on Management of†…, 2020
62020
High Performance Query Processing and Data Analytics
B Chandramouli, RC Fernandez, AH Quamar, A Eldawy, JD Goldstein
US Patent App. 15/085,468, 2017
4*2017
Discovery and Creation of Rich Entities for Knowledge Bases
A Quamar, F Ozcan, K Xirogiannopoulos
Proceedings of the 5th International Workshop on Exploratory Search in†…, 2018
32018
NScaleSpark: subgraph-centric graph analytics on Apache Spark
A Quamar, A Deshpande
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 1-8, 2016
32016
The Quill Distributed Analytics Library and Platform
B Chandramouli, RC Fernandez, J Goldstein, A Eldawy, A Quamar
Technical report, Microsoft Research (MSR-TR-2016-25). http://aka. ms/quill-tr, 2016
32016
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs
C Lei, R Alotaibi, A Quamar, V Efthymiou, F ÷zcan
arXiv preprint arXiv:2003.11580, 2020
22020
Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.
A Quamar, J Straube, Y Tian
CIDR, 2020
22020
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