Katsuki Fujisawa, Yukinobu Hamuro, Naoki Katoh, Takeshi Tokuyama, Katsutoshi Yada. Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming. In Setsuo Arikawa, Koichi Furukawa, editors, Discovery Science, Second International Conference, DS 99, Tokyo, Japan, December, 1999, Proceedings. Volume 1721 of Lecture Notes in Computer Science, pages 148-159, Springer, 1999. [doi]
@inproceedings{FujisawaHKTY98,
title = {Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming},
author = {Katsuki Fujisawa and Yukinobu Hamuro and Naoki Katoh and Takeshi Tokuyama and Katsutoshi Yada},
year = {1999},
url = {http://link.springer.de/link/service/series/0558/bibs/1532/15320148.htm},
tags = {rule-based, rules, programming},
researchr = {https://researchr.org/publication/FujisawaHKTY98},
cites = {0},
citedby = {0},
pages = {148-159},
booktitle = {Discovery Science, Second International Conference, DS 99, Tokyo, Japan, December, 1999, Proceedings},
editor = {Setsuo Arikawa and Koichi Furukawa},
volume = {1721},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-66713-X},
}