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)
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Authors
- 1. Congcong Ge
- 2. Yunjun Gao
- 3. Xiaoye Miao
- 4. Lu Chen
- 5. Christian S. Jensen
- 6. Ziyuan Zhu
Incoming Citations (Sorted by Pagerank)
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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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