Data Augmentation for ML-driven Data Preparation and Integration

Summary: Tutorial on DA for ML-driven data preparation and integration in data management. Covers task-specific operators, interpolation, conditional generation, and policy learning; links to active learning and weak supervision. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: hdfa08ff0488cac39
Venue: VLDB
Year: 2021
Pagerank: 5.0765311e-05
Overall Rank: 10,116 | 32.01%
DOI: 10.14778/3476311.3476403
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Yuliang Li (Megagon Labs)
2. Xiaolan Wang (Megagon Labs)
3. Zhengjie Miao (Duke University)
4. Wang-Chiew Tan (Meta)

BibTeX Citation

@article{li_vldb21,
        title = {{Data Augmentation for ML-driven Data Preparation and Integration}},
        author = {Li, Yuliang and Wang, Xiaolan and Miao, Zhengjie and Tan, Wang-Chiew},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3182--3185},
        doi = {10.14778/3476311.3476403},
        url = {https://doi.org/10.14778/3476311.3476403},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,997	Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation	2023	SIGMOD	5.2400249e-05
11,737	Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet	2023	SIGMOD	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
134	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00030042569
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028038831
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025171314
269	Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach	2001	SIGMOD	0.00022610366
377	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00019564011
884	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00013263269
1,098	KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing	2015	SIGMOD	0.00012031983
1,115	Foofah: Transforming Data By Example	2017	SIGMOD	0.00011958625
1,120	Snuba: Automating Weak Supervision to Label Training Data	2019	VLDB	0.000119406
1,342	Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning	2020	VLDB	0.00010963254
1,391	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD	0.00010812249
1,581	Example-driven Design of Efficient Record Matching Queries	2007	VLDB	0.0001017553
1,805	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	9.5938877e-05
1,872	Predictive Interaction for Data Transformation	2015	CIDR	9.4606235e-05
1,993	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	9.2348951e-05
2,167	Data Synthesis based on Generative Adversarial Networks	2018	VLDB	8.9299807e-05
2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.4074448e-05
4,171	Data Integration and Machine Learning: A Natural Synergy	2018	SIGMOD	6.7576159e-05
4,329	Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration	2020	VLDB	6.656734e-05
5,074	Data Collection and Quality Challenges for Deep Learning	2020	VLDB	6.2850141e-05
5,078	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.2832055e-05
6,888	ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation	2020	VLDB	5.653972e-05
7,150	Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel	2018	SIGMOD	5.5963926e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	6,159	Automatic Data Acquisition for Deep Learning	2021	VLDB
2	1,153	Data Management Challenges in Production Machine Learning	2017	SIGMOD
3	5,074	Data Collection and Quality Challenges for Deep Learning	2020	VLDB
4	1,038	ARDA: Automatic Relational Data Augmentation for Machine Learning	2020	VLDB
5	4,727	LLM for Data Management	2024	VLDB
6	5,610	Responsible Data Integration: Next-generation Challenges	2022	SIGMOD
7	4,955	Adaptive Data Augmentation for Supervised Learning over Missing Data	2021	VLDB
8	1,223	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD
9	4,171	Data Integration and Machine Learning: A Natural Synergy	2018	SIGMOD
10	7,418	Data Integration and Machine Learning: A Natural Synergy	2018	VLDB