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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Summary: Transform-Data-by-Example (TDE) is an extensible search engine that indexes 50K transformation functions from code, DLLs, web services and mapping tables; users provide input/output examples to synthesize programs. On 200 tasks, TDE reaches 72% correctness, outperforms existing systems; Excel beta and Power BI integration extend practical adoption.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11610
- Venue
- VLDB
- Year
- 2018
- Pagerank
- 7.0493668e-05
- Overall Rank
- 3,483 | 75.80%
- DOI
-
10.14778/3231751.3231766
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
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| 516 |
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| 2,161 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
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| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
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8.4909917e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,244 |
Towards Benchmarking Feature Type Inference for AutoML Platforms |
2021 |
SIGMOD |
5.6021738e-05 |
| 5,279 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5851818e-05 |
| 5,283 |
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V |
2023 |
VLDB |
5.5843052e-05 |
| 5,389 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5339832e-05 |
| 5,533 |
QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting |
2023 |
VLDB |
5.4555519e-05 |
| 6,552 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0109216e-05 |
| 6,798 |
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models |
2024 |
SIGMOD |
4.9186164e-05 |
| 9,381 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4.343902e-05 |
| 9,405 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
2025 |
VLDB |
4.3399748e-05 |
| 10,606 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
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4.1905499e-05 |
| 10,618 |
Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation |
2025 |
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4.1905499e-05 |
| 11,181 |
LinCQA: Faster Consistent Query Answering with Linear Time Guarantees |
2023 |
SIGMOD |
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DataRinse: Semantic Transforms for Data preparation based on Code Mining |
2023 |
VLDB |
4.1905499e-05 |
| 11,345 |
SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation |
2022 |
SIGMOD |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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