Supporting Queries with Imprecise Constraints
Abstract
In this paper, we motivate the need for and challenges in-volved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ- a domain inde-pendent approach for answering imprecise queries that auto-matically learns query relaxation order by using approximate functional dependencies. We also describe our approach for learning similarity between values of categorical attributes. Finally, we present experimental results demonstrating the ro-bustness, efficiency and effectiveness of AIMQ.
Cite
Text
Nambiar and Kambhampati. "Supporting Queries with Imprecise Constraints." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Nambiar and Kambhampati. "Supporting Queries with Imprecise Constraints." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/nambiar2006aaai-supporting/)BibTeX
@inproceedings{nambiar2006aaai-supporting,
title = {{Supporting Queries with Imprecise Constraints}},
author = {Nambiar, Ullas and Kambhampati, Subbarao},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1654-1657},
url = {https://mlanthology.org/aaai/2006/nambiar2006aaai-supporting/}
}