S. P. Subasingha, J. Zhang, Kamal Premaratne, Mei-Ling Shyu, M. Kubat, K. K. Rohitha Hewawasam. Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 539-562, Springer, 2008. [doi]
@incollection{SubasinghaZPSKH08, title = {Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method}, author = {S. P. Subasingha and J. Zhang and Kamal Premaratne and Mei-Ling Shyu and M. Kubat and K. K. Rohitha Hewawasam}, year = {2008}, doi = {10.1007/978-3-540-78488-3_32}, url = {http://dx.doi.org/10.1007/978-3-540-78488-3_32}, tags = {rule-based, classification, rules}, researchr = {https://researchr.org/publication/SubasinghaZPSKH08}, cites = {0}, citedby = {0}, pages = {539-562}, booktitle = {Data Mining: Foundations and Practice}, editor = {Tsau Young Lin and Ying Xie and Anita Wasilewska and Churn-Jung Liau}, volume = {118}, series = {Studies in Computational Intelligence}, publisher = {Springer}, isbn = {978-3-540-78487-6}, }