Data-Driven Insight Synthesis for Multi-Dimensional Data

Summary: DAISY learns data-insight interestingness from user annotations rather than fixed, brittle rules. Cost-efficient annotation and MCMC-based synthesis enable scalable discovery of diverse, user-aligned insights across multidimensional data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13539
Venue: VLDB
Year: 2024
Pagerank: 5.3083825e-05
Overall Rank: 9,054 | 38.10%
DOI: 10.14778/3641204.3641211

Incoming Non-self Citations Over Time

Authors

1. Junjie Xing (University of Michigan)
2. Xinyu Wang (University of Michigan)
3. H. V. Jagadish (University of Michigan)

BibTeX Citation

@article{xing_vldb24,
        title = {{Data-Driven Insight Synthesis for Multi-Dimensional Data}},
        author = {Xing, Junjie and Wang, Xinyu and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {5},
        pages = {1007--1019},
        doi = {10.14778/3641204.3641211},
        url = {https://doi.org/10.14778/3641204.3641211},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,358	Guardrail: Automated Integrity Constraint Synthesis From Noisy Data	2026	SIGMOD	5.0723324e-05
10,480	Data-Semantics-Aware Recommendation of Diverse Pivot Tables	2026	SIGMOD	5.0723324e-05

Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
412	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00018843019
686	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00014943841
818	Natural language to SQL: Where are we today?	2020	VLDB	0.00013794857
970	User-adaptive exploration of multidimensional data	2000	VLDB	0.00012881329
1,162	BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations	2016	VLDB	0.00011844029
1,164	Foofah: Transforming Data By Example	2017	SIGMOD	0.0001183484
1,192	Query From Examples: An Iterative, Data-Driven Approach to Query Construction	2015	VLDB	0.00011699676
1,262	Discovering Queries based on Example Tuples	2014	SIGMOD	0.00011393596
1,473	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010656093
2,025	Duoquest: A Dual-Specification System for Expressive SQL Queries	2020	SIGMOD	9.270099e-05
3,140	Extracting Top-K Insights from Multi-dimensional Data	2017	SIGMOD	7.6939681e-05
3,444	Foresight: Recommending Visual Insights	2017	VLDB	7.3928557e-05
4,641	QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data	2019	SIGMOD	6.5702584e-05
6,564	Data Migration using Datalog Program Synthesis	2020	VLDB	5.8244583e-05
7,130	DICE: Data Discovery by Example	2021	VLDB	5.6817993e-05
8,251	Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example	2018	VLDB	5.4418284e-05
9,007	MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis	2021	SIGMOD	5.3190387e-05
9,633	SuDocu: Summarizing Documents by Example	2020	VLDB	5.2284613e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	8,229	Probabilistic Database Summarization for Interactive Data Exploration	2017	VLDB
2	11,729	Exploring Ratings in Subjective Databases	2021	SIGMOD
3	2,686	Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration	2014	SIGMOD
4	3,444	Foresight: Recommending Visual Insights	2017	VLDB
5	3,140	Extracting Top-K Insights from Multi-dimensional Data	2017	SIGMOD
6	970	User-adaptive exploration of multidimensional data	2000	VLDB
7	4,641	QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data	2019	SIGMOD
8	4,410	Automating Exploratory Data Analysis via Machine Learning: An Overview	2020	SIGMOD
9	4,432	Optimization for Active Learning-based Interactive Database Exploration	2019	VLDB
10	9,007	MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis	2021	SIGMOD