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Building Hierarchical Classifiers Using Class Proximity

Summary: Proposes class proximity to measure closeness in hierarchical classification, replacing local-split models with a global classifier. Employs generalized association rules as the feature space to encode relations for proximity-aware flat classification. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8772
Venue
VLDB
Year
1999
Pagerank
6.4751031e-05
Overall Rank
4,858 | 66.68%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb99,
        title = {{Building Hierarchical Classifiers Using Class Proximity}},
        author = {Wang, Ke and Zhou, Senqiang and Liew, Shiang Chen},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {363--374},
        year = {1999}
}

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