Wisteria: Nurturing Scalable Data Cleaning Infrastructure

Summary: Wisteria separates logical cleaning ops from their physical implementations, enabling iterative workflows from samples to full data. Crowdsourcing, in-flight operator replacement, and sampling-driven optimization guide replacements under analyst feedback. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11292
Venue: VLDB
Year: 2015
Pagerank: 5.3991092e-05
Overall Rank: 8,620 | 40.86%
DOI: 10.14778/2824032.2824122

Incoming Non-self Citations Over Time

Authors

1. Daniel Haas (University of California Berkeley)
2. Sanjay Krishnan (University of California Berkeley)
3. Jiannan Wang (University of California Berkeley)
4. Michael J. Franklin (University of California Berkeley)
5. Eugene Wu (Columbia University)

BibTeX Citation

@article{haas_vldb15,
        title = {{Wisteria: Nurturing Scalable Data Cleaning Infrastructure}},
        author = {Haas, Daniel and Krishnan, Sanjay and Wang, Jiannan and Franklin, Michael J. and Wu, Eugene},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {2004--2015},
        doi = {10.14778/2824032.2824122},
        url = {https://doi.org/10.14778/2824032.2824122},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,323	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011152602
1,643	Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services	2017	SIGMOD	0.00010134956
1,798	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.7361937e-05
3,971	CLAMShell: Speeding up Crowds for Low-latency Data Labeling	2016	VLDB	6.9835263e-05
4,837	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD	6.4845444e-05
5,794	ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning	2016	SIGMOD	6.0863045e-05
7,179	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB	5.6802479e-05
11,109	FaDE: More Than a Million What-ifs Per Second	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
439	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018464913
516	Data Curation at Scale: The Data Tamer System	2013	CIDR	0.00017171198
549	ERACER: A Database Approach for Statistical Inference and Data Cleaning	2010	SIGMOD	0.00016692839
725	NADEEF: A Commodity Data Cleaning System	2013	SIGMOD	0.00014617251
1,736	A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data	2014	SIGMOD	9.8984415e-05
2,636	CrowdFill: Collecting Structured Data from the Crowd	2014	SIGMOD	8.31868e-05
8,714	Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views	2015	VLDB	5.3778009e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	201	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB
2	9,571	Arachnid: Generalized Visual Data Cleaning	2019	SIGMOD
3	7,245	The VADA Architecture for Cost-Effective Data Wrangling	2017	SIGMOD
4	13,435	Data Cleaning in the Era of Data Science: Challenges and Opportunities	2021	CIDR
5	6,499	A Demonstration of DBWipes: Clean as You Query	2012	VLDB
6	7,232	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD
7	3,361	Cleaning Denial Constraint Violations through Relaxation	2020	SIGMOD
8	7,179	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB
9	9,298	VisClean: Interactive Cleaning for Progressive Visualization	2020	VLDB
10	11,713	From Papers to Practice: The openclean Open-Source Data Cleaning Library	2021	VLDB