Israel-César Lerman, Jérôme Azé. A New Probabilistic Measure of Interestingness for Association Rules, Based on the Likelihood of the Link. In Fabrice Guillet, Howard J. Hamilton, editors, Quality Measures in Data Mining. Volume 43 of Studies in Computational Intelligence, pages 207-236, Springer, 2007. [doi]
@incollection{LermanA07,
title = {A New Probabilistic Measure of Interestingness for Association Rules, Based on the Likelihood of the Link},
author = {Israel-César Lerman and Jérôme Azé},
year = {2007},
doi = {10.1007/978-3-540-44918-8_9},
url = {http://dx.doi.org/10.1007/978-3-540-44918-8_9},
tags = {rule-based, rules},
researchr = {https://researchr.org/publication/LermanA07},
cites = {0},
citedby = {0},
pages = {207-236},
booktitle = {Quality Measures in Data Mining},
editor = {Fabrice Guillet and Howard J. Hamilton},
volume = {43},
series = {Studies in Computational Intelligence},
publisher = {Springer},
isbn = {978-3-540-44911-9},
}