Prati
Venkata Vamsikrishna Meduri
Venkata Vamsikrishna Meduri
Potvrđena adresa e-pošte na asu.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
Synthesizing entity matching rules by examples
R Singh, VV Meduri, A Elmagarmid, S Madden, P Papotti, JA Quiané-Ruiz, ...
Proceedings of the VLDB Endowment 11 (2), 189-202, 2017
1472017
Robust discovery of positive and negative rules in knowledge bases
S Ortona, VV Meduri, P Papotti
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1168-1179, 2018
1112018
Tweeting the mind and instagramming the heart: Exploring differentiated content sharing on social media
L Manikonda, VV Meduri, S Kambhampati
Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016
882016
A comprehensive benchmark framework for active learning methods in entity matching
VV Meduri, L Popa, P Sen, M Sarwat
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
822020
Generating concise entity matching rules
R Singh, V Meduri, A Elmagarmid, S Madden, P Papotti, JA Quiané-Ruiz, ...
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
752017
Rudik: Rule discovery in knowledge bases
S Ortona, VV Meduri, P Papotti
Proceedings of the VLDB Endowment 11 (12), 1946-1949, 2018
502018
Mining expressive rules in knowledge graphs
N Ahmadi, VP Huynh, V Meduri, S Ortona, P Papotti
Journal of Data and Information Quality (JDIQ) 12 (2), 1-27, 2020
292020
Bayeswipe: A scalable probabilistic framework for improving data quality
S De, Y Hu, VV Meduri, Y Chen, S Kambhampati
Journal of Data and Information Quality (JDIQ) 8 (1), 1-30, 2016
242016
Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query from the Future
VV Meduri, K Chowdhury, M Sarwat
ACM Transactions on Database Systems (TODS) 46 (1), 1-46, 2021
182021
Towards user-aware rule discovery
VV Meduri, P Papotti
Information Search, Integration, and Personlization: 11th International …, 2017
72017
BayesWipe: A scalable probabilistic framework for cleaning bigdata
S De, Y Hu, MV Vamsikrishna, Y Chen, S Kambhampati
arXiv preprint arXiv:1506.08908, 2015
62015
A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets
K Chowdhury, VV Meduri, M Sarwat
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2426-2439, 2022
42022
GEM: An Efficient Entity Matching Framework for Geospatial Data
S Shah, V Meduri, M Sarwat
Proceedings of the 29th International Conference on Advances in Geographic …, 2021
42021
BI-REC: Guided Data Analysis for Conversational Business Intelligence
VV Meduri, A Quamar, C Lei, V Efthymiou, F Ozcan
arXiv preprint arXiv:2105.00467, 2021
42021
Guided exploration for conversational business intelligence
A Quamar, F Ozcan, C Lei, V Efthymiou, VV Meduri
US Patent App. 17/188,405, 2022
32022
Recurrent neural networks for dynamic user intent prediction in human-database interaction
V Meduri, K Chowdhury
22nd International Conference on Extending Database Technology, EDBT 2019 …, 2019
32019
Human-in-the-Loop Machine Learning Systems for Data Integration and Predictive Analytics
VV Meduri
ARIZONA STATE UNIVERSITY, 2022
12022
A game theoretic approach to ad-hoc coalitions in human-robot societies
T Chakraborti, VV Meduri, V Dondeti, S Kambhampati
30th AAAI Conference on Artificial Intelligence, AAAI 2016, 546-552, 2016
12016
A Write Efficient PCM-Aware Sort.
VV Meduri, Z Su, KL Tan
DEXA (1), 86-100, 2012
12012
Alfa: active learning for graph neural network-based semantic schema alignment
VV Meduri, A Quamar, C Lei, X Qin, B Reinwald
The VLDB Journal, 1-31, 2023
2023
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