DADA: A Data Cube for Dominant Relationship Analysis
Summary: Extends skyline dominance to Dominant Relationship Analysis (DRA) for product–buyer relations via a novel Data Cube, DADA. Defines three Dominant Relationship Queries (LOQ, SAQ, CDQ) with efficient algorithms; experiments show effectiveness and efficiency of DADA. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Cuiping Li (Renmin University of China)
- 2. Beng Chin Ooi (National University of Singapore)
- 3. Anthony K.H. Tung (National University of Singapore)
- 4. Shan Wang (Renmin University of China)
BibTeX Citation
@inproceedings{li_sigmod06,
title = {{DADA: A Data Cube for Dominant Relationship Analysis}},
author = {Li, Cuiping and Ooi, Beng Chin and Tung, Anthony K.H. and Wang, Shan},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142547},
url = {https://dl.acm.org/doi/10.1145/1142473.1142547},
year = {2006}
}
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