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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Summary: Auto-Prep: a system that holistically predicts intertwined data-transformation and join steps in self-service BI workflows, learned from ~2K real BI projects. Uses a Steiner-tree–inspired graph algorithm with provable guarantees and achieves >70% accuracy, outperforming prior approaches and GPT‑4.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13873
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,606 | 26.29%
- DOI
-
10.14778/3734839.3734856
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 491 |
Query by Output |
2009 |
SIGMOD |
0.00021960753 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 1,185 |
JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes |
2019 |
SIGMOD |
0.00013432692 |
| 1,266 |
Foofah: Transforming Data By Example |
2017 |
SIGMOD |
0.00012921038 |
| 1,340 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012492795 |
| 1,469 |
BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations |
2016 |
VLDB |
0.00011831156 |
| 1,661 |
On Multi-Column Foreign Key Discovery |
2010 |
VLDB |
0.00010967185 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 2,161 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
9.4029915e-05 |
| 2,301 |
OLAP and Statistical Databases: Similarities and Differences |
1997 |
PODS |
9.0699585e-05 |
| 2,507 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
8.6254741e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 2,968 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
7.7964476e-05 |
| 3,303 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
7.2438671e-05 |
| 3,393 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.1415762e-05 |
| 3,483 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
7.0493668e-05 |
| 3,738 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8006812e-05 |
| 4,849 |
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora |
2015 |
VLDB |
5.872093e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,279 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5851818e-05 |
| 5,388 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5342724e-05 |
| 5,389 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5339832e-05 |
| 5,495 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
5.4770205e-05 |
| 6,798 |
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models |
2024 |
SIGMOD |
4.9186164e-05 |
| 8,044 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
4.5950532e-05 |
| 9,405 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
2025 |
VLDB |
4.3399748e-05 |
| 9,491 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
4.3300131e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,840 |
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes |
2021 |
SIGMOD |
4.6337164e-05 |
| 5,439 |
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data |
2023 |
SIGMOD |
5.5034427e-05 |
| 11,553 |
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop |
2020 |
CIDR |
4.1905499e-05 |
| 5,279 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5851818e-05 |
| 3,738 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8006812e-05 |
| 10,690 |
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework |
2025 |
VLDB |
4.1905499e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,389 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5339832e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 9,491 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
4.3300131e-05 |