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Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance

Summary: Similarity search on probabilistic data via Earth Mover’s Distance (EMD); range and kNN queries on probabilistic histograms. Primal–dual LP theory with B+ tree indexing enables effective candidate pruning, yielding dramatic scalability gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10314
Venue
VLDB
Year
2010
Pagerank
6.8944534e-05
Overall Rank
4,112 | 71.79%
DOI
10.14778/1920841.1920939

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xu_vldb10,
        title = {{Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance}},
        author = {Xu, Jia and Zhang, Zhenjie and Tung, Anthony K.H. and Yu, Ge},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {758--769},
        doi = {10.14778/1920841.1920939},
        url = {https://doi.org/10.14778/1920841.1920939},
        year = {2010}
}

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