DBScholar

Back to papers

Finding Non-Redundant Simpson's Paradox in Multidimensional Data

Summary: Formalizes sibling-child, separator, and statistic equivalence as redundancy sources in multidimensional Simpson’s paradox discovery. Groups equivalent paradoxes and uses redundancy-aware DFS algorithms, reducing search cost while preserving interpretable, robust findings. (summarized by gpt-5.6-luna on Aug 17 2026)

Paper ID
hccd23b71cea9f172
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,799 | 27.40%
DOI
10.14778/3819518.3819564

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{yang_vldb26,
        title = {{Finding Non-Redundant Simpson's Paradox in Multidimensional Data}},
        author = {Yang, Yi and Pei, Jian and Yang, Jun and Xie, Jichun},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {9},
        pages = {2466--2479},
        doi = {10.14778/3819518.3819564},
        url = {https://doi.org/10.14778/3819518.3819564},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers