Back to papers
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
- 13872
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,598 | 26.28%
- 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 |
| 492 |
Query by Output |
2009 |
SIGMOD |
0.00021974699 |
| 517 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021169035 |
| 1,187 |
JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes |
2019 |
SIGMOD |
0.00013443639 |
| 1,267 |
Foofah: Transforming Data By Example |
2017 |
SIGMOD |
0.00012936483 |
| 1,337 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012497164 |
| 1,469 |
BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations |
2016 |
VLDB |
0.00011836053 |
| 1,664 |
On Multi-Column Foreign Key Discovery |
2010 |
VLDB |
0.00010976887 |
| 1,894 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.0001018378 |
| 2,158 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
9.4141354e-05 |
| 2,295 |
OLAP and Statistical Databases: Similarities and Differences |
1997 |
PODS |
9.0782994e-05 |
| 2,506 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
8.6335464e-05 |
| 2,587 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4924618e-05 |
| 2,968 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
7.7985097e-05 |
| 3,299 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
7.2546659e-05 |
| 3,393 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.1483239e-05 |
| 3,478 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
7.054159e-05 |
| 3,735 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8061318e-05 |
| 4,850 |
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora |
2015 |
VLDB |
5.8768452e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.7011825e-05 |
| 5,275 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5905507e-05 |
| 5,383 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5393038e-05 |
| 5,434 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5045402e-05 |
| 5,486 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
5.4811603e-05 |
| 6,800 |
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models |
2024 |
SIGMOD |
4.9231471e-05 |
| 8,042 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
4.5994569e-05 |
| 9,399 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
2025 |
VLDB |
4.3441378e-05 |
| 9,490 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
4.3341665e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,838 |
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes |
2021 |
SIGMOD |
4.6377995e-05 |
| 5,429 |
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data |
2023 |
SIGMOD |
5.5087325e-05 |
| 11,549 |
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop |
2020 |
CIDR |
4.1945683e-05 |
| 5,275 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5905507e-05 |
| 3,735 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8061318e-05 |
| 10,682 |
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework |
2025 |
VLDB |
4.1945683e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.7011825e-05 |
| 5,383 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5393038e-05 |
| 3,252 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3178277e-05 |
| 9,490 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
4.3341665e-05 |