Saravanan Thirumuruganathan

According to our database, Saravanan Thirumuruganathan authored at least 95 papers between 2011 and 2025.

Collaborative distances:

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

2025

Pythia: A Neural Model for Data Prefetching.

Akshay A. Bapat, Saravanan Thirumuruganathan, Nick Koudas

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data.

Saravanan Thirumuruganathan, Fatih Deniz, Issa Khalil, Ting Yu, Mohamed Nabeel, Mourad Ouzzani

Proceedings of the 33rd USENIX Security Symposium, 2024

Relational Data Imputation with Graph Neural Networks.

Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating.

Saravanan Thirumuruganathan, Noora Al Emadi, Soon-Gyo Jung, Joni Salminen, Dianne Ramirez Robillos, Bernard J. Jansen

Inf. Manag., April, 2023

Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis.

Simone Lazier, Saravanan Thirumuruganathan, Hadis Anahideh

CoRR, 2023

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines.

Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Automated Annotations for AI Data and Model Transparency.

Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla

ACM J. Data Inf. Qual., 2022

Editorial: Special Issue on Deep Learning for Data Quality.

Donatello Santoro, Saravanan Thirumuruganathan, Paolo Papotti

ACM J. Data Inf. Qual., 2022

Fair active learning.

Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan

Expert Syst. Appl., 2022

Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments.

Joni Salminen, Kamal Chhirang, Soon-Gyo Jung, Saravanan Thirumuruganathan, Kathleen W. Guan, Bernard J. Jansen

Big Data, 2022

SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors.

Saravanan Thirumuruganathan, Mohamed Nabeel, Euijin Choo, Issa Khalil, Ting Yu

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation.

Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das

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

Accelerating Entity Lookups in Knowledge Graphs Through Embeddings.

Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga

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

2021

Deep Learning for Blocking in Entity Matching: A Design Space Exploration.

Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan

Proc. VLDB Endow., 2021

Forecasting the nearly unforecastable: why aren't airline bookings adhering to the prediction algorithm?

Saravanan Thirumuruganathan, Soon-Gyo Jung, Dianne Ramirez Robillos, Joni Salminen, Bernard J. Jansen

Electron. Commer. Res., 2021

Scalable signal reconstruction for a broad range of applications.

Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava

Commun. ACM, 2021

Random Walks on Huge Graphs at Cache Efficiency.

Ke Yang, Xiaosong Ma, Saravanan Thirumuruganathan, Kang Chen, Yongwei Wu

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News.

Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions.

Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper).

Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

2020

Scalable algorithms for signal reconstruction by leveraging similarity joins.

Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

VLDB J., 2020

Making AI Machines Work for Humans in FoW.

Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida

SIGMOD Rec., 2020

Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning.

Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das

Proc. VLDB Endow., 2020

Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins.

Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava

Proc. VLDB Endow., 2020

ZeroER: Entity Resolution using Zero Labeled Examples.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

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

Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries.

Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das

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

Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks.

Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan

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

Approximate Query Processing for Data Exploration using Deep Generative Models.

Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Data Curation with Deep Learning.

Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani, AnHai Doan

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

Optimized group formation for solving collaborative tasks.

Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

VLDB J., 2019

Efficient Signal Reconstruction for a Broad Range of Applications.

Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

SIGMOD Rec., 2019

Combating Fake News: A Data Management and Mining Perspective.

Laks V. S. Lakshmanan, Michael Simpson, Saravanan Thirumuruganathan

Proc. VLDB Endow., 2019

ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse.

Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das

Proc. VLDB Endow., 2019

Platform Design for Crowdsourcing and Future of Work.

David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan, Marion Tommasi, Ko Yoshida

IEEE Data Eng. Bull., 2019

On Benchmarking for Crowdsourcing and Future of Work Platforms.

Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan

IEEE Data Eng. Bull., 2019

Local Embeddings for Relational Data Integration.

Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan

CoRR, 2019

AutoER: Automated Entity Resolution using Generative Modelling.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

CoRR, 2019

Are Outlier Detection Methods Resilient to Sampling?

Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan

CoRR, 2019

Approximate Query Processing using Deep Generative Models.

Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das

CoRR, 2019

Multi-Attribute Selectivity Estimation Using Deep Learning.

Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das

CoRR, 2019

A Human-in-the-loop Attribute Design Framework for Classification.

Md. Abdus Salam, Mary E. Koone, Saravanan Thirumuruganathan, Gautam Das, Senjuti Basu Roy

Proceedings of the World Wide Web Conference, 2019

Explaining Entity Resolution Predictions: Where are we and What needs to be done?

Saravanan Thirumuruganathan, Mourad Ouzzani, Nan Tang

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2019

EXPLAINER: Entity Resolution Explanations.

Amr Ebaid, Saravanan Thirumuruganathan, Walid G. Aref, Ahmed K. Elmagarmid, Mourad Ouzzani

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

TagSniff: Simplified Big Data Debugging for Dataflow Jobs.

Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Saravanan Thirumuruganathan

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Human Factors Modeling in Crowdsourcing.

Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das, Ioanna Lykourentzou, Habibur Rahman, Saravanan Thirumuruganathan

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Structure Analytics in Social Media.

Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse.

Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das

Proc. VLDB Endow., 2018

Distributed Representations of Tuples for Entity Resolution.

Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq R. Joty, Mourad Ouzzani, Nan Tang

Proc. VLDB Endow., 2018

Discovery of Genuine Functional Dependencies from Relational Data with Missing Values.

Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan

Proc. VLDB Endow., 2018

Leveraging Similarity Joins for Signal Reconstruction.

Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava

Proc. VLDB Endow., 2018

RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -.

Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas, Ahmed K. Elmagarmid, Yasser Idris, Zoi Kaoudi, Sebastian Kruse, Ji Lucas, Essam Mansour, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Saravanan Thirumuruganathan, Anis Troudi

Proc. VLDB Endow., 2018

Malware in the future? Forecasting of analyst detection of cyber events.

Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Charmaine Sample, Blaine Hoffman, Gautam Das

J. Cybersecur., 2018

Reuse and Adaptation for Entity Resolution through Transfer Learning.

Saravanan Thirumuruganathan, Shameem Ahamed Puthiya Parambath, Mourad Ouzzani, Nan Tang, Shafiq R. Joty

CoRR, 2018

Data Curation with Deep Learning [Vision]: Towards Self Driving Data Curation.

Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani

CoRR, 2018

Robust Road Map Inference through Network Alignment of Trajectories.

Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Road Network Fusion for Incremental Map Updates.

Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat

Proceedings of the Progress in Location Based Services 2018, 2018

An Empirical Study of Questionnaires for the Diagnosis of Pediatric Obstructive Sleep Apnea.

Sadia Ahmed, Sona Hasani, Mary Koone, Saravanan Thirumuruganathan, Montserrat Diaz-Abad, Ron Mitchell, Amal Isaiah, Gautam Das

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

DeepER - Deep Entity Resolution.

Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq R. Joty, Mourad Ouzzani, Nan Tang

CoRR, 2017

Kharita: Robust Map Inference using Graph Spanners.

Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat

CoRR, 2017

Malware in the Future? Forecasting Analyst Detection of Cyber Events.

Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Char Sample, Blaine Hoffman, Gautam Das

CoRR, 2017

UGuide: User-Guided Discovery of FD-Detectable Errors.

Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang

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

A Cost-based Optimizer for Gradient Descent Optimization.

Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal

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

Density Based Clustering over Location Based Services.

Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Collaborative Crowdsourcing with Crowd4U.

Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

Proc. VLDB Endow., 2016

Discovering the Skyline of Web Databases.

Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2016

HDBSCAN: Density based Clustering over Location Based Services.

Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

CoRR, 2016

ANALOC: Efficient analytics over Location Based Services.

Md Farhadur Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Task assignment optimization in knowledge-intensive crowdsourcing.

Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

VLDB J., 2015

Worker Skill Estimation in Team-Based Tasks.

Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das

Proc. VLDB Endow., 2015

Privacy Implications of Database Ranking.

Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2015

Walk, Not Wait: Faster Sampling Over Online Social Networks.

Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2015

Aggregate Estimations over Location Based Services.

Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2015

Hidden Database Research and Analytics (HYDRA) System .

Yachao Lu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

IEEE Data Eng. Bull., 2015

"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing.

Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

CoRR, 2015

Querying Hidden Attributes in an Online Community Network.

Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das

Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Answering Complex Queries in an Online Community Network.

Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Task Assignment Optimization in Collaborative Crowdsourcing.

Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

An expressive framework and efficient algorithms for the analysis of collaborative tagging.

Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu

VLDB J., 2014

Beyond Itemsets: Mining Frequent Featuresets over Structured Items.

Saravanan Thirumuruganathan, Habibur Rahman, Sofiane Abbar, Gautam Das

Proc. VLDB Endow., 2014

Aggregate Estimation Over Dynamic Hidden Web Databases.

Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2014

HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases.

Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Ali Jaoua

Proc. VLDB Endow., 2014

Optimization in Knowledge-Intensive Crowdsourcing.

Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

CoRR, 2014

Rank-Based Inference over Web Databases.

Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

CoRR, 2014

Aggregate estimation over a microblog platform.

Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, Gautam Das

Proceedings of the International Conference on Management of Data, 2014

Query Hidden Attributes in Social Networks.

Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled B. Shaban, Gautam Das

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Exploiting group recommendation functions for flexible preferences.

Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Ranking item features by mining online user-item interactions.

Sofiane Abbar, Habibur Rahman, Saravanan Thirumuruganathan, Carlos Castillo, Gautam Das

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Price trade-offs in social media advertising.

Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas

Proceedings of the second ACM conference on Online social networks, 2014

2013

Rank Discovery From Web Databases.

Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proc. VLDB Endow., 2013

Breaking the top-k barrier of hidden web databases?

Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing.

Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das

Proceedings of the First VLDB Workshop on Databases and Crowdsourcing, 2013

2012

MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings.

Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proc. VLDB Endow., 2012

Who Tags What? An Analysis Framework.

Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proc. VLDB Endow., 2012

Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier

Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

CoRR, 2012

2011

Building Bayesian Network based expert systems from rules.

Saravanan Thirumuruganathan, Manfred Huber

Proceedings of the IEEE International Conference on Systems, 2011