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IHCS: An Integrated Hybrid Cleaning System

Summary: IHCS is a cleaning system unifying detection and repair for multiple error types via an MLN index. Preprocessing encodes rules into the MLN index; an abnormal-group step yields cleaned data reconciled into a dataset with a visual interface. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11889
Venue
VLDB
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,682 | 18.74%
DOI
10.14778/3352063.3352088

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
192 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00035728858
732 Discovering Data Quality Rules 2008 VLDB 0.00017465093
791 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016629664
1,012 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.0001464733
1,627 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00011086905
2,946 BigDansing: A System for Big Data Cleansing 2015 SIGMOD 7.8372441e-05
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