Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph

Summary: Auto-BI automatically infers BI models from input tables via k-Min-Cost-Arborescence, jointly optimizing local join predictions and global schema structure. Exact practical solvers scale to nearly 100 tables with sub-second latency and >0.9 F1 on 100K real models and TPC benchmarks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h4b7d2b51689a9e6e
Venue: VLDB
Year: 2023
Pagerank: 5.2443558e-05
Overall Rank: 8,979 | 39.64%
DOI: 10.14778/3603581.3603596

Incoming Non-self Citations Over Time

Authors

1. Yiming Lin (University of California Irvine)
2. Yeye He (Microsoft)
3. Surajit Chaudhuri (Microsoft)

BibTeX Citation

@article{lin_vldb23,
        title = {{Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph}},
        author = {Lin, Yiming and He, Yeye and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {10},
        pages = {2578--2590},
        doi = {10.14778/3603581.3603596},
        url = {https://doi.org/10.14778/3603581.3603596},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,167	Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples	2023	VLDB	6.2462501e-05
7,526	Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence	2025	VLDB	5.5020723e-05
9,229	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD	5.2056825e-05
10,837	EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries	2026	VLDB	4.9793485e-05
10,853	Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models	2026	VLDB	4.9793485e-05
11,256	Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index	2025	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
43	A Comparison of Approaches to Large-Scale Data Analysis	2009	SIGMOD	0.00045546775
86	XMark: A Benchmark for XML Data Management	2002	VLDB	0.00035810622
159	Inclusion dependencies and their interaction with functional dependencies (Extended abstract)	1982	PODS	0.00027958527
1,532	On Multi-Column Foreign Key Discovery	2010	VLDB	0.00010332696
1,558	Summarizing Relational Databases	2009	VLDB	0.00010257165
2,520	VizQL: A Language for Query, Analysis and Visualization	2006	SIGMOD	8.3479795e-05
2,612	Auto-Join: Joining Tables by Leveraging Transformations	2017	VLDB	8.2265197e-05
2,641	Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks	2020	SIGMOD	8.1787073e-05
3,304	Multi-column Substring Matching for Database Schema Translation	2006	VLDB	7.4426486e-05
4,206	SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora	2015	VLDB	6.7348167e-05
4,246	Divide & Conquer-based Inclusion Dependency Discovery	2015	VLDB	6.7061689e-05
4,970	Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples	2021	SIGMOD	6.3329595e-05
5,135	Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel	2014	VLDB	6.2587553e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	9,897	Auto-Approximation of Graph Computing	2014	VLDB
2	2,641	Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks	2020	SIGMOD
3	6,028	A Scalable AutoML Approach Based on Graph Neural Networks	2022	VLDB
4	3,423	AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models	2024	VLDB
5	10,235	Scalable and Usable Relational Learning With Automatic Language Bias	2021	SIGMOD
6	5,167	Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples	2023	VLDB
7	4,424	Auto-Transform: Learning-to-Transform by Patterns	2020	VLDB
8	4,235	Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search	2021	VLDB
9	2,612	Auto-Join: Joining Tables by Leveraging Transformations	2017	VLDB
10	7,526	Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence	2025	VLDB