Arachnid: Generalized Visual Data Cleaning

Summary: Arachnid generalizes visual data cleaning by translating mouse interactions on common visualizations into a broad set of cleaning transformations. Based on generalized selection and direct manipulation, it enables exploration-driven, on-the-fly cleaning beyond fixed pipelines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5639
Venue: SIGMOD
Year: 2019
Pagerank: 4.3341665e-05
Overall Rank: 9,500 | 33.92%
DOI: 10.1145/3299869.3300108

Incoming Non-self Citations Over Time

Authors

1. Conder L. Shou
2. Amita Shukla

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,984	Towards Scalable Visual Data Wrangling via Direct Manipulation	2026	CIDR	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
5,729	KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing	2015	VLDB	5.3506368e-05
7,237	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB	4.7928651e-05
199	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.00035041015
6,384	A Demonstration of DBWipes: Clean as You Query	2012	VLDB	5.0880333e-05
691	AJAX: An Extensible Data Cleaning Tool	2000	SIGMOD	0.00018086135
5,929	ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning	2016	SIGMOD	5.2682177e-05
7,564	PIClean: A Probabilistic and Interactive Data Cleaning System	2019	SIGMOD	4.7093702e-05
8,593	Wisteria: Nurturing Scalable Data Cleaning Infrastructure	2015	VLDB	4.4891474e-05
9,984	Towards Scalable Visual Data Wrangling via Direct Manipulation	2026	CIDR	4.1945683e-05
9,221	VisClean: Interactive Cleaning for Progressive Visualization	2020	VLDB	4.3699444e-05