Interactive Mining with Ordered and Unordered Attributes
Summary: Interactive search to identify a user’s favorite tuple when data have both ordered and unordered attributes. DI is asymptotically optimal for a single ordered+unordered pair; BS/EDI extend to many attributes with guarantees, delivering up to 10x fewer questions and faster runtimes than prior work. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Weicheng Wang (Hong Kong University of Science and Technology)
- 2. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
BibTeX Citation
@article{wang_vldb22,
title = {{Interactive Mining with Ordered and Unordered Attributes}},
author = {Wang, Weicheng and Wong, Raymond Chi-Wing},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2504--2516},
doi = {10.14778/3551793.3551810},
url = {https://doi.org/10.14778/3551793.3551810},
year = {2022}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,250 | Robust Best Point Selection under Unreliable User Feedback | 2024 | VLDB | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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