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Raha: A Configuration-Free Error Detection System

Summary: Raha is a configuration-free error detection system for data cleaning. It generates a compact set of configurations to form per-tuple feature vectors, then uses sampling and learning to select representative values, leveraging historical data to prune irrelevant detectors and outperform prior work with at most 20 labels. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5766
Venue
SIGMOD
Year
2019
Pagerank
7.7964476e-05
Overall Rank
2,968 | 79.38%
DOI
10.1145/3299869.3324956

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 35 of 35 citing papers.

Rank Citing Paper Year Venue Pagerank
1,895 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010174634
2,348 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 8.9903659e-05
2,759 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.1646193e-05
3,303 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.2438671e-05
3,397 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.1386386e-05
5,026 Adaptive Data Augmentation for Supervised Learning over Missing Data 2021 VLDB 5.7451454e-05
5,096 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 5.6960764e-05
5,227 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 5.6156523e-05
5,563 Big Graphs: Challenges and Opportunities 2022 VLDB 5.4328211e-05
5,974 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 5.2458154e-05
6,188 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 5.1607275e-05
6,279 Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks 2023 VLDB 5.1241232e-05
6,691 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 4.9573939e-05
7,840 Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes 2021 SIGMOD 4.6337164e-05
8,096 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 4.583522e-05
8,588 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 4.4853244e-05
8,741 Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness 2024 VLDB 4.4520434e-05
9,073 VerifAI: Verified Generative AI 2024 CIDR 4.396857e-05
9,354 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 4.3484715e-05
9,362 Discovering Top-k Rules using Subjective and Objective Criteria 2023 SIGMOD 4.3472627e-05
9,395 DataVinci: Learning Syntactic and Semantic String Repairs 2025 SIGMOD 4.3399748e-05
9,439 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 4.3389137e-05
9,462 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 4.3324933e-05
9,489 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 4.3300131e-05
9,576 CoClean: Collaborative Data Cleaning 2020 SIGMOD 4.3207e-05
9,776 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 4.2815042e-05
9,849 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 4.2680295e-05
10,026 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 4.1905499e-05
10,488 Data Enhancement for Binary Classification of Relational Data 2025 SIGMOD 4.1905499e-05
10,521 Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables 2025 SIGMOD 4.1905499e-05
10,606 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB 4.1905499e-05
10,730 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 4.1905499e-05
10,826 Demonstrating Matelda for Multi-Table Error Detection 2025 VLDB 4.1905499e-05
11,114 Rock: Cleaning Data with both ML and Logic Rules 2024 VLDB 4.1905499e-05
11,225 Splitting Tuples of Mismatched Entities 2023 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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