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CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning

Summary: CtxPipe automates context-aware data-prep pipeline construction for ML using pretrained embeddings to capture semantics and guide component choice. A deep RL framework searches the pipeline, delivering higher feature quality and faster models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0ad1e9cd7e0e1803
Venue
SIGMOD
Year
2024
Pagerank
5.7678369e-05
Overall Rank
6,438 | 56.85%
DOI
10.1145/3698831
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gao_sigmod24,
        title = {{CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning}},
        author = {Gao, Haotian and Cai, Shaofeng and Dinh, Tien Tuan Anh and Huang, Zhiyong and Ooi, Beng Chin},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3698831},
        url = {https://dl.acm.org/doi/10.1145/3698831},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
366 TURL: Table Understanding through Representation Learning 2021 VLDB 0.00019902067
460 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017836918
727 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014426954
948 Democratizing Data Science through Interactive Curation of ML Pipelines 2019 SIGMOD 0.00012900728
989 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00012638176
1,306 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011076619
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,627 Efficient Denial Constraint Discovery with Hydra 2018 VLDB 0.00010021689
1,744 Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021 VLDB 9.7253583e-05
1,993 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 9.2224853e-05
2,116 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 9.0047829e-05
2,451 Approximate Denial Constraints 2020 VLDB 8.4303553e-05
2,685 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.116387e-05
3,420 Data Profiling – A Tutorial 2017 SIGMOD 7.300051e-05
3,970 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023 SIGMOD 6.8768492e-05
4,245 Scalable Discovery of Unique Column Combinations 2014 VLDB 6.6958006e-05
4,538 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.5398994e-05
5,230 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.2059854e-05
5,466 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD 6.1038307e-05
6,177 Fundamentals of Order Dependencies 2012 VLDB 5.8432596e-05
7,194 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.573413e-05
7,227 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 5.5647576e-05
7,518 Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems 2021 SIGMOD 5.4894144e-05
7,633 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4635757e-05
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