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Brainwash: A Data System for Feature Engineering
Summary: Brainwash: a data-system vision to ease feature engineering for large ML-driven systems by shortening the Explore–Extract–Evaluate loop and revealing how feature code interacts with massive datasets. Focuses on faster iterative feedback and run reuse.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 212
- Venue
- CIDR
- Year
- 2013
- Pagerank
- 7.9017482e-05
- Overall Rank
- 2,919 | 79.72%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
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Citing Paper |
Year |
Venue |
Pagerank |
| 608 |
Monkey: Optimal Navigable Key-Value Store |
2017 |
SIGMOD |
0.00019233548 |
| 901 |
To Join or Not to Join? Thinking Twice about Joins before Feature Selection |
2016 |
SIGMOD |
0.00015462938 |
| 1,172 |
Learning Generalized Linear Models Over Normalized Data |
2015 |
SIGMOD |
0.00013504249 |
| 1,534 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011462072 |
| 1,666 |
HELIX: Holistic Optimization for Accelerating Iterative Machine Learning |
2019 |
VLDB |
0.00010955907 |
| 2,153 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.418541e-05 |
| 4,105 |
Extracting Databases from Dark Data with DeepDive |
2016 |
SIGMOD |
6.4409563e-05 |
| 4,123 |
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? |
2018 |
VLDB |
6.4290005e-05 |
| 4,794 |
Demonstration of Santoku: Optimizing Machine Learning over Normalized Data |
2015 |
VLDB |
5.910645e-05 |
| 5,313 |
Key-Value Storage Engines |
2020 |
SIGMOD |
5.5711707e-05 |
| 5,817 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3154329e-05 |
| 6,118 |
An Integrated Development Environment for Faster Feature Engineering |
2014 |
VLDB |
5.1992479e-05 |
| 6,345 |
A Relational Framework for Classifier Engineering |
2017 |
PODS |
5.0970607e-05 |
| 6,440 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0546781e-05 |
| 7,663 |
Schema Independent Relational Learning |
2017 |
SIGMOD |
4.6812239e-05 |
| 8,864 |
Cerebro: A Layered Data Platform for Scalable Deep Learning |
2021 |
CIDR |
4.4283952e-05 |
| 9,388 |
Hephaestus: Data Reuse for Accelerating Scientific Discovery |
2015 |
CIDR |
4.3415719e-05 |
| 10,177 |
InferF: Declarative Factorization of AI/ML Inferences over Joins |
2026 |
SIGMOD |
4.1905499e-05 |
| 11,480 |
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study |
2021 |
SIGMOD |
4.1905499e-05 |
| 11,983 |
Which Concepts Are Worth Extracting? |
2014 |
SIGMOD |
4.1905499e-05 |
| 12,028 |
The Case for Personal Data-Driven Decision Making |
2014 |
VLDB |
4.1905499e-05 |
| 13,373 |
Faster Evaluation of Labor-Intensive Features |
2015 |
CIDR |
- |
| 13,461 |
Ringtail: A Generalized Nowcasting System |
2013 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
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