238 citations · 664 across the 23 of their papers we have counts for
24 papers
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis
Simone Lazier, Saravanan Thirumuruganathan, Hadis Anahideh
Machine learning (ML) based approaches are increasingly being used in a number of applications with societal impact. Training ML models often require vast amounts of labeled data,…
Local Embeddings for Relational Data Integration
Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
Deep learning based techniques have been recently used with promising results for data integration problems. Some methods directly use pre-trained embeddings that were trained on a…
ZeroER: Entity Resolution using Zero Labeled Examples
Renzhi Wu, Sanya Chaba, Saurabh Sawlani +2
Entity resolution (ER) refers to the problem of matching records in one or more relations that refer to the same real-world entity. While supervised machine learning (ML) approache…
Are Outlier Detection Methods Resilient to Sampling?
Laure Berti-Equille, Ji Meng Loh, Saravanan Thirumuruganathan
Outlier detection is a fundamental task in data mining and has many applications including detecting errors in databases. While there has been extensive prior work on methods for o…
Approximate Query Processing using Deep Generative Models
Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas +1
Data is generated at an unprecedented rate surpassing our ability to analyze them. The database community has pioneered many novel techniques for Approximate Query Processing (AQP)…
Multi-Attribute Selectivity Estimation Using Deep Learning
Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine +2
Selectivity estimation - the problem of estimating the result size of queries - is a fundamental problem in databases. Accurate estimation of query selectivity involving multiple c…