Building Bayesian Network based expert systems from rules. - Saravanan Thirumuruganathan; Manfred Huber (SMC, 2011)

Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier - Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (CoRR, 2012)

Who Tags What? An Analysis Framework. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. - Saravanan Thirumuruganathan; Mahashweta Das; Shrikant Desai; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (DBCrowd, 2013)

Breaking the top-k barrier of hidden web databases? - Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (ICDE, 2013)

Rank Discovery From Web Databases. - Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2013)

Price trade-offs in social media advertising. - Milad Eftekhar; Saravanan Thirumuruganathan; Gautam Das 001; Nick Koudas (COSN, 2014)

Ranking item features by mining online user-item interactions. - Sofiane Abbar; Habibur Rahman 001; Saravanan Thirumuruganathan; Carlos Castillo 001; Gautam Das 001 (ICDE, 2014)

Exploiting group recommendation functions for flexible preferences. - Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (ICDE, 2014)

Query Hidden Attributes in Social Networks. - Azade Nazi; Saravanan Thirumuruganathan; Vagelis Hristidis; Nan Zhang 004; Khaled B. Shaban; Gautam Das 001 (ICDM Workshops, 2014)

Aggregate estimation over a microblog platform. - Saravanan Thirumuruganathan; Nan Zhang 004; Vagelis Hristidis; Gautam Das 001 (SIGMOD Conference, 2014)

Rank-Based Inference over Web Databases. - Md Farhadur Rahman; Weimo Liu; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (CoRR, 2014)

Optimization in Knowledge-Intensive Crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (CoRR, 2014)

HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases. - Weimo Liu; Saad Bin Suhaim; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Ali Jaoua (Proc. VLDB Endow., 2014)

Aggregate Estimation Over Dynamic Hidden Web Databases. - Weimo Liu; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2014)

Beyond Itemsets: Mining Frequent Featuresets over Structured Items. - Saravanan Thirumuruganathan; Habibur Rahman 001; Sofiane Abbar; Gautam Das 001 (Proc. VLDB Endow., 2014)

An expressive framework and efficient algorithms for the analysis of collaborative tagging. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (VLDB J., 2014)

Task Assignment Optimization in Collaborative Crowdsourcing. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (ICDM, 2015)

Answering Complex Queries in an Online Community Network. - Azade Nazi; Saravanan Thirumuruganathan; Vagelis Hristidis; Nan Zhang 004; Gautam Das 001 (ICWSM, 2015)

Querying Hidden Attributes in an Online Community Network. - Azade Nazi; Saravanan Thirumuruganathan; Vagelis Hristidis; Nan Zhang 004; Gautam Das 001 (MASS, 2015)

"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (CoRR, 2015)

Hidden Database Research and Analytics (HYDRA) System . - Yachao Lu; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (IEEE Data Eng. Bull., 2015)

Aggregate Estimations over Location Based Services. - Weimo Liu; Md Farhadur Rahman; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2015)

Walk, Not Wait: Faster Sampling Over Online Social Networks. - Azade Nazi; Zhuojie Zhou; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2015)

Privacy Implications of Database Ranking. - Md Farhadur Rahman; Weimo Liu; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2015)

Worker Skill Estimation in Team-Based Tasks. - Habibur Rahman 001; Saravanan Thirumuruganathan; Senjuti Basu Roy; Sihem Amer-Yahia; Gautam Das 001 (Proc. VLDB Endow., 2015)

Task assignment optimization in knowledge-intensive crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (VLDB J., 2015)

ANALOC: Efficient analytics over Location Based Services. - Md Farhadur Rahman; Saad Bin Suhaim; Weimo Liu; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (ICDE, 2016)

HDBSCAN: Density based Clustering over Location Based Services. - Md Farhadur Rahman; Weimo Liu; Saad Bin Suhaim; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (CoRR, 2016)

Discovering the Skyline of Web Databases. - Abolfazl Asudeh; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (Proc. VLDB Endow., 2016)

Collaborative Crowdsourcing with Crowd4U. - Kosetsu Ikeda; Atsuyuki Morishima; Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (Proc. VLDB Endow., 2016)

Density Based Clustering over Location Based Services. - Md Farhadur Rahman; Weimo Liu; Saad Bin Suhaim; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001 (ICDE, 2017)

A Cost-based Optimizer for Gradient Descent Optimization. - Zoi Kaoudi; Jorge-Arnulfo Quiané-Ruiz; Saravanan Thirumuruganathan; Sanjay Chawla; Divy Agrawal (SIGMOD Conference, 2017)

UGuide: User-Guided Discovery of FD-Detectable Errors. - Saravanan Thirumuruganathan; Laure Berti-Équille; Mourad Ouzzani; Jorge-Arnulfo Quiané-Ruiz; Nan Tang 001 (SIGMOD Conference, 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 001 (CoRR, 2017)

Kharita: Robust Map Inference using Graph Spanners. - Rade Stanojevic; Sofiane Abbar; Saravanan Thirumuruganathan; Sanjay Chawla; Fethi Filali; Ahid Aleimat (CoRR, 2017)

DeepER - Deep Entity Resolution. - Muhammad Ebraheem; Saravanan Thirumuruganathan; Shafiq R. Joty; Mourad Ouzzani; Nan Tang 001 (CoRR, 2017)

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 001 (EMBC, 2018)

Road Network Fusion for Incremental Map Updates. - Rade Stanojevic; Sofiane Abbar; Saravanan Thirumuruganathan; Gianmarco De Francisci Morales; Sanjay Chawla; Fethi Filali; Ahid Aleimat (LBS, 2018)

Robust Road Map Inference through Network Alignment of Trajectories. - Rade Stanojevic; Sofiane Abbar; Saravanan Thirumuruganathan; Sanjay Chawla; Fethi Filali; Ahid Aleimat (SDM, 2018)

Data Curation with Deep Learning [Vision]: Towards Self Driving Data Curation. - Saravanan Thirumuruganathan; Nan Tang 001; Mourad Ouzzani (CoRR, 2018)

Reuse and Adaptation for Entity Resolution through Transfer Learning. - Saravanan Thirumuruganathan; Shameem Ahamed Puthiya Parambath; Mourad Ouzzani; Nan Tang 001; Shafiq R. Joty (CoRR, 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 001 (J. Cybersecur., 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 001; Ji Lucas; Essam Mansour 001; Mourad Ouzzani; Paolo Papotti; Jorge-Arnulfo Quiané-Ruiz; et al. (Proc. VLDB Endow., 2018)

Leveraging Similarity Joins for Signal Reconstruction. - Abolfazl Asudeh; Azade Nazi; Jees Augustine; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (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)

Distributed Representations of Tuples for Entity Resolution. - Muhammad Ebraheem; Saravanan Thirumuruganathan; Shafiq R. Joty; Mourad Ouzzani; Nan Tang 001 (Proc. VLDB Endow., 2018)

Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. - Sona Hasani; Saravanan Thirumuruganathan; Abolfazl Asudeh; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2018)

Structure Analytics in Social Media. - Sihem Amer-Yahia; Mahashweta Das; Gautam Das 001; Saravanan Thirumuruganathan; Cong Yu 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Human Factors Modeling in Crowdsourcing. - Sihem Amer-Yahia; Senjuti Basu Roy; Gautam Das 001; Ioanna Lykourentzou; Habibur Rahman 001; Saravanan Thirumuruganathan (Encyclopedia of Database Systems (2nd ed.), 2018)

TagSniff: Simplified Big Data Debugging for Dataflow Jobs. - Bertty Contreras-Rojas; Jorge-Arnulfo Quiané-Ruiz; Zoi Kaoudi; Saravanan Thirumuruganathan (SoCC, 2019)

EXPLAINER: Entity Resolution Explanations. - Amr Ebaid; Saravanan Thirumuruganathan; Walid G. Aref; Ahmed K. Elmagarmid; Mourad Ouzzani (ICDE, 2019)

Explaining Entity Resolution Predictions: Where are we and What needs to be done? - Saravanan Thirumuruganathan; Mourad Ouzzani; Nan Tang 001 (HILDA@SIGMOD, 2019)

A Human-in-the-loop Attribute Design Framework for Classification. - Md. Abdus Salam; Mary E. Koone; Saravanan Thirumuruganathan; Gautam Das 001; Senjuti Basu Roy (WWW, 2019)

Multi-Attribute Selectivity Estimation Using Deep Learning. - Shohedul Hasan; Saravanan Thirumuruganathan; Jees Augustine; Nick Koudas; Gautam Das 001 (CoRR, 2019)

Approximate Query Processing using Deep Generative Models. - Saravanan Thirumuruganathan; Shohedul Hasan; Nick Koudas; Gautam Das 001 (CoRR, 2019)

Are Outlier Detection Methods Resilient to Sampling? - Laure Berti-Équille; Ji Meng Loh; Saravanan Thirumuruganathan (CoRR, 2019)

AutoER: Automated Entity Resolution using Generative Modelling. - Renzhi Wu; Sanya Chaba; Saurabh Sawlani; Xu Chu 002; Saravanan Thirumuruganathan (CoRR, 2019)

Local Embeddings for Relational Data Integration. - Riccardo Cappuzzo; Paolo Papotti; Saravanan Thirumuruganathan (CoRR, 2019)

On Benchmarking for Crowdsourcing and Future of Work Platforms. - Ria Mae Borromeo; Lei Chen 002; Abhishek Dubey; Sudeepa Roy 001; Saravanan Thirumuruganathan (IEEE Data Eng. Bull., 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)

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 001 (Proc. VLDB Endow., 2019)

Combating Fake News: A Data Management and Mining Perspective. - Laks V. S. Lakshmanan; Michael Simpson 001; Saravanan Thirumuruganathan (Proc. VLDB Endow., 2019)

Efficient Signal Reconstruction for a Broad Range of Applications. - Abolfazl Asudeh; Jees Augustine; Azade Nazi; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (SIGMOD Rec., 2019)

Optimized group formation for solving collaborative tasks. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (VLDB J., 2019)

Data Curation with Deep Learning. - Saravanan Thirumuruganathan; Nan Tang 001; Mourad Ouzzani; AnHai Doan (EDBT, 2020)

Approximate Query Processing for Data Exploration using Deep Generative Models. - Saravanan Thirumuruganathan; Shohedul Hasan; Nick Koudas; Gautam Das 001 (ICDE, 2020)

Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. - Riccardo Cappuzzo; Paolo Papotti; Saravanan Thirumuruganathan (SIGMOD Conference, 2020)

Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. - Shohedul Hasan; Saravanan Thirumuruganathan; Jees Augustine; Nick Koudas; Gautam Das 001 (SIGMOD Conference, 2020)

ZeroER: Entity Resolution using Zero Labeled Examples. - Renzhi Wu; Sanya Chaba; Saurabh Sawlani; Xu Chu 002; Saravanan Thirumuruganathan (SIGMOD Conference, 2020)

Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. - Jees Augustine; Suraj Shetiya; Abolfazl Asudeh; Saravanan Thirumuruganathan; Azade Nazi; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (Proc. VLDB Endow., 2020)

Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. - Suraj Shetiya; Saravanan Thirumuruganathan; Nick Koudas; Gautam Das 001 (Proc. VLDB Endow., 2020)

Making AI Machines Work for Humans in FoW. - Sihem Amer-Yahia; Senjuti Basu Roy; Lei Chen 002; Atsuyuki Morishima; James Abello Monedero; Pierre Bourhis; François Charoy; Marina Danilevsky; Gautam Das 001; Gianluca Demartini; Shady Elbassuoni; David Gross-Amblard; et al. (SIGMOD Rec., 2020)

Scalable algorithms for signal reconstruction by leveraging similarity joins. - Abolfazl Asudeh; Jees Augustine; Azade Nazi; Saravanan Thirumuruganathan; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (VLDB J., 2020)

EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper). - Riccardo Cappuzzo; Paolo Papotti; Saravanan Thirumuruganathan (SEBD, 2021)

Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. - Sona Hasani; Saravanan Thirumuruganathan; Nick Koudas; Gautam Das 001 (SIGMOD Conference, 2021)

To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. - Saravanan Thirumuruganathan; Michael Simpson 001; Laks V. S. Lakshmanan (SIGMOD Conference, 2021)

Random Walks on Huge Graphs at Cache Efficiency. - Ke Yang; Xiaosong Ma; Saravanan Thirumuruganathan; Kang Chen; Yongwei Wu 001 (SOSP, 2021)

Scalable signal reconstruction for a broad range of applications. - Abolfazl Asudeh; Jees Augustine; Saravanan Thirumuruganathan; Azade Nazi; Nan Zhang 004; Gautam Das 001; Divesh Srivastava (Commun. ACM, 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)

Deep Learning for Blocking in Entity Matching: A Design Space Exploration. - Saravanan Thirumuruganathan; Han Li; Nan Tang 001; Mourad Ouzzani; Yash Govind; Derek Paulsen; Glenn Fung; AnHai Doan (Proc. VLDB Endow., 2021)

Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. - Ghadeer Abuoda; Saravanan Thirumuruganathan; Ashraf Aboulnaga (ICDE, 2022)

Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. - Saravanan Thirumuruganathan; Suraj Shetiya; Nick Koudas; Gautam Das 001 (ICDE, 2022)

SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors. - Saravanan Thirumuruganathan; Mohamed Nabeel; Euijin Choo; Issa Khalil; Ting Yu 001 (SP, 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)

Fair active learning. - Hadis Anahideh; Abolfazl Asudeh; Saravanan Thirumuruganathan (Expert Syst. Appl., 2022)

Editorial: Special Issue on Deep Learning for Data Quality. - Donatello Santoro; Saravanan Thirumuruganathan; Paolo Papotti (ACM J. Data Inf. Qual., 2022)

Automated Annotations for AI Data and Model Transparency. - Saravanan Thirumuruganathan; Mayuresh Kunjir; Mourad Ouzzani; Sanjay Chawla (ACM J. Data Inf. Qual., 2022)

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 (ICDE, 2023)

Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis. - Simone Lazier; Saravanan Thirumuruganathan; Hadis Anahideh (CoRR, 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., 2023)

Relational Data Imputation with Graph Neural Networks. - Riccardo Cappuzzo; Saravanan Thirumuruganathan; Paolo Papotti (EDBT, 2024)

Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data. - Saravanan Thirumuruganathan; Fatih Deniz; Issa Khalil; Ting Yu 001; Mohamed Nabeel; Mourad Ouzzani (USENIX Security Symposium, 2024)

Pythia: A Neural Model for Data Prefetching. - Akshay A. Bapat; Saravanan Thirumuruganathan; Nick Koudas (EDBT, 2025)