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Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications

Summary: Saga automatically searches top data-cleaning pipelines for ML, combining AutoML, feature selection, and hyper-parameter tuning. Generates hybrid local/distributed runtime plans, extensible to new primitives, with monotonicity pruning and accuracy gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h08e1ff2061d765e1
Venue
SIGMOD
Year
2023
Pagerank
6.2059854e-05
Overall Rank
5,230 | 64.95%
DOI
10.1145/3617338

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{siddiqi_sigmod23,
        title = {{Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications}},
        author = {Siddiqi, Shafaq and Kern, Roman and Boehm, Matthias},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3617338},
        url = {https://dl.acm.org/doi/10.1145/3617338},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
6,438 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.7678369e-05
9,842 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 5.1064323e-05
10,397 FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction 2027 SIGMOD 4.9605343e-05
10,592 Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,925 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9605343e-05
11,015 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.9605343e-05
11,060 MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning 2026 VLDB 4.9605343e-05
11,250 Data Enhancement for Binary Classification of Relational Data 2025 SIGMOD 4.9605343e-05
11,257 Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization 2025 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 43 of 43 cited papers.

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

Rank Cited Paper Year Venue Pagerank
95 Potter's Wheel: An Interactive Data Cleaning System 2001 VLDB 0.00034319763
100 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033951027
460 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017836918
516 Data Curation at Scale: The Data Tamer System 2013 CIDR 0.00016963937
544 ERACER: A Database Approach for Statistical Inference and Data Cleaning 2010 SIGMOD 0.00016584014
652 Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes 2013 SIGMOD 0.00015117165
695 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.00014679058
717 Guided Data Repair 2011 VLDB 0.00014531658
795 Model Management 2.0: Manipulating Richer Mappings 2007 SIGMOD 0.00013895182
853 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013437314
948 Democratizing Data Science through Interactive Curation of ML Pipelines 2019 SIGMOD 0.00012900728
972 The Data Civilizer System 2017 CIDR 0.00012742827
1,083 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012089325
1,151 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.000117662
1,154 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011762688
1,278 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011208469
1,347 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010947547
1,503 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010428871
1,567 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.00010179013
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,731 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.7585913e-05
1,744 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.7253583e-05
2,031 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1414653e-05
2,252 Query Optimization for Dynamic Imputation 2017 VLDB 8.7454369e-05
2,341 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.5984124e-05
2,429 BigDansing: A System for Big Data Cleansing 2015 SIGMOD 8.4657925e-05
2,954 Distributed Data Deduplication 2016 VLDB 7.8045942e-05
2,985 Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing 2017 VLDB 7.7695402e-05
3,711 TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines 2020 SIGMOD 7.0580105e-05
3,741 Learning to Validate the Predictions of Black Box Classifiers on Unseen Data 2020 SIGMOD 7.0396815e-05
3,749 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 7.0348686e-05
3,833 Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks 2016 VLDB 6.9736073e-05
4,049 Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models 2021 SIGMOD 6.8169373e-05
4,354 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6318545e-05
5,070 BEER: Blocking for Effective Entity Resolution 2021 SIGMOD 6.2760011e-05
5,445 xPAD: A Platform for Analytic Data Flows 2013 SIGMOD 6.1126502e-05
5,517 KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing 2015 VLDB 6.0847011e-05
5,885 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.9421702e-05
6,088 QoX-Driven ETL Design: Reducing the Cost of ETL Consulting Engagements 2009 SIGMOD 5.8739792e-05
6,911 Unit Testing Data with Deequ 2019 SIGMOD 5.6335281e-05
7,532 SystemER: A Human-in-the-loop System for Explainable Entity Resolution 2019 VLDB 5.4858387e-05
9,048 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 5.2155403e-05
10,270 AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment 2021 SIGMOD 5.036217e-05
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