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03/29/2023
RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
Can foundation models (such as ChatGPT) clean your data? In this proposa...
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12/04/2020
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Can AI help automate human-easy but computer-hard data preparation tasks...
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11/26/2019
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery
Many data problems are solved when the right view of a combination of da...
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07/08/2019
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Due to the ubiquity of spatial data applications and the large amounts o...
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07/08/2019
In-memory Distributed Spatial Query Processing and Optimization
Due to the ubiquity of spatial data applications and the large amounts o...
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06/15/2019
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
An end-to-end data integration system requires human feedback in several...
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09/28/2018
Reuse and Adaptation for Entity Resolution through Transfer Learning
Entity resolution (ER) is one of the fundamental problems in data integr...
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03/04/2018
Data Curation with Deep Learning [Vision]: Towards Self Driving Data Curation
Past. Data curation - the process of discovering, integrating, and clean...
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12/26/2017
Pattern-Driven Data Cleaning
Data is inherently dirty and there has been a sustained effort to come u...
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12/24/2017
Human-Centric Data Cleaning [Vision]
Data Cleaning refers to the process of detecting and fixing errors in th...
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10/02/2017
DeepER -- Deep Entity Resolution
Entity Resolution (ER) is a fundamental problem with many applications. ...
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09/29/2017
