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Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Summary: Auto-Suggest learns to propose data prep steps by mining notebook-driven data manipulations. Crawls 4M GitHub Jupyter notebooks, replays steps to log inputs/outputs and decisions, using logs to learn data-driven prep recommendations that beat baselines.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h8cce4e8d55ae6cd8
Venue
SIGMOD
Year
2020
Pagerank
8.1641056e-05
Overall Rank
2,645 | 82.28%
DOI
10.1145/3318464.3389738
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{yan_sigmod20,
title = {{Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks}},
author = {Yan, Cong and He, Yeye},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389738},
url = {https://dl.acm.org/doi/10.1145/3318464.3389738},
year = {2020}
}
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BAT: Target-Instance-Free Data Preparation Synthesis via LLM-Driven Tree Search
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FlowPilot: A Suggestion System for Designing Scientific Workflows
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EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries
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11,651
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Leam: An Interactive System for In-situ Visual Text Analysis
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
86
XMark: A Benchmark for XML Data Management
2002
VLDB
0.0003567995
435
Mining Database Structure; Or, How to Build a Data Quality Browser
2002
SIGMOD
0.00018277436
596
Linear Road: A Stream Data Management Benchmark
2004
VLDB
0.00015766455
853
HoloDetect: Few-Shot Learning for Error Detection
2019
SIGMOD
0.00013437314
864
SnipSuggest: Context-Aware Autocompletion for SQL
2011
VLDB
0.00013358173
972
The Data Civilizer System
2017
CIDR
0.00012742827
1,094
BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations
2016
VLDB
0.00012039085
1,111
Foofah: Transforming Data By Example
2017
SIGMOD
0.00011946262
1,278
Automating Large-Scale Data Quality Verification
2018
VLDB
0.00011208469
1,306
Detecting Data Errors: Where are we and what needs to be done?
2016
VLDB
0.00011076619
1,336
Harvesting Relational Tables from Lists on the Web
2009
VLDB
0.00010969394
1,538
On Multi-Column Foreign Key Discovery
2010
VLDB
0.00010295575
1,875
Predictive Interaction for Data Transformation
2015
CIDR
9.4433754e-05
2,373
SCODED: Statistical Constraint Oriented Data Error Detection
2020
SIGMOD
8.5434538e-05
2,608
Auto-Join: Joining Tables by Leveraging Transformations
2017
VLDB
8.209962e-05
2,746
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
2018
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8.0458815e-05
2,752
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
2019
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8.0387193e-05
2,960
Auto-Detect: Data-Driven Error Detection in Tables
2018
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7.7967245e-05
3,618
TEGRA: Table Extraction by Global Record Alignment
2015
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7.1365624e-05
3,897
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
2018
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6.9202872e-05
4,220
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2015
VLDB
6.7137538e-05
5,145
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2014
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6.2410756e-05
6,027
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2015
VLDB
5.8915775e-05
7,213
The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS
2005
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5.5689879e-05
8,158
Synthesizing Mapping Relationships Using Table Corpus
2017
SIGMOD
5.3726245e-05
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