238 citations · 664 across the 23 of their papers we have counts for
18 papers · 1 filter
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…
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…
Reuse and Adaptation for Entity Resolution through Transfer Learning
Saravanan Thirumuruganathan, Shameem A Puthiya Parambath, Mourad Ouzzani +2
Entity resolution (ER) is one of the fundamental problems in data integration, where machine learning (ML) based classifiers often provide the state-of-the-art results. Considerabl…
Data Curation with Deep Learning [Vision]
Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani +1
Data curation - the process of discovering, integrating, and cleaning data - is one of the oldest, hardest, yet inevitable data management problems. Despite decades of efforts from…