Venkata Vamsikrishna Meduri

According to our database, Venkata Vamsikrishna Meduri authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Alfa: active learning for graph neural network-based semantic schema alignment.

Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald

VLDB J., July, 2024

2022

A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets.

Kanchan Chowdhury, Venkata Vamsikrishna Meduri, Mohamed Sarwat

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query from the Future.

Venkata Vamsikrishna Meduri, Kanchan Chowdhury, Mohamed Sarwat

ACM Trans. Database Syst., 2021

BI-REC: Guided Data Analysis for Conversational Business Intelligence.

Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Vasilis Efthymiou, Fatma Ozcan

CoRR, 2021

GEM: An Efficient Entity Matching Framework for Geospatial Data.

Setu Shah, Vamsi Meduri, Mohamed Sarwat

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Mining Expressive Rules in Knowledge Graphs.

Naser Ahmadi, Viet-Phi Huynh, Venkata Vamsikrishna Meduri, Stefano Ortona, Paolo Papotti

ACM J. Data Inf. Qual., 2020

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching.

Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction.

Venkata Vamsikrishna Meduri, Kanchan Chowdhury, Mohamed Sarwat

Proceedings of the Advances in Database Technology, 2019

2018

RuDiK: Rule Discovery in Knowledge Bases.

Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti

Proc. VLDB Endow., 2018

Human-Database Interaction: A Holistic Approach.

Mohamed Sarwat, Venkata Vamsikrishna Meduri

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Robust Discovery of Positive and Negative Rules in Knowledge Bases.

Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Synthesizing Entity Matching Rules by Examples.

Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang

Proc. VLDB Endow., 2017

Generating Concise Entity Matching Rules.

Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality.

Sushovan De, Yuheng Hu, Venkata Vamsikrishna Meduri, Yi Chen, Subbarao Kambhampati

ACM J. Data Inf. Qual., 2016

Towards User-Aware Rule Discovery.

Venkata Vamsikrishna Meduri, Paolo Papotti

Proceedings of the Information Search, Integration, and Personlization, 2016

Tweeting the Mind and Instagramming the Heart: Exploring Differentiated Content Sharing on Social Media.

Lydia Manikonda, Venkata Vamsikrishna Meduri, Subbarao Kambhampati

Proceedings of the Tenth International Conference on Web and Social Media, 2016

A Game Theoretic Approach to Ad-Hoc Coalitions in Human-Robot Societies.

Tathagata Chakraborti, Venkata Vamsikrishna Meduri, Vivek Dondeti, Subbarao Kambhampati

Proceedings of the Multiagent Interaction without Prior Coordination, 2016

2015

BayesWipe: A Scalable Probabilistic Framework for Cleaning BigData.

Sushovan De, Yuheng Hu, Venkata Vamsikrishna Meduri, Yi Chen, Subbarao Kambhampati

CoRR, 2015

2012

A Write Efficient PCM-Aware Sort.

Venkata Vamsikrishna Meduri, Zhan Su, Kian-Lee Tan

Proceedings of the Database and Expert Systems Applications, 2012

2011

Subquery Plan Reuse based Query Optimization.

Venkata Vamsikrishna Meduri, Kian-Lee Tan

Proceedings of the 17th International Conference on Management of Data, 2011