Tri Thanh Nguyen Le, Xuan-Hiep Huynh, Fabrice Guillet. Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures. In Debbie Richards, Byeong Ho Kang, editors, Knowledge Acquisition: Approaches, Algorithms and Applications, Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers. Volume 5465 of Lecture Notes in Computer Science, pages 40-49, Springer, 2008. [doi]
@inproceedings{LeHG08,
title = {Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures},
author = {Tri Thanh Nguyen Le and Xuan-Hiep Huynh and Fabrice Guillet},
year = {2008},
doi = {10.1007/978-3-642-01715-5_4},
url = {http://dx.doi.org/10.1007/978-3-642-01715-5_4},
tags = {rule-based, rules},
researchr = {https://researchr.org/publication/LeHG08},
cites = {0},
citedby = {0},
pages = {40-49},
booktitle = {Knowledge Acquisition: Approaches, Algorithms and Applications, Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers},
editor = {Debbie Richards and Byeong Ho Kang},
volume = {5465},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-01714-8},
}