Author:
L’Héritier Cécile,Harispe Sébastien,Imoussaten Abdelhak,Dusserre Gilles,Roig Benoît
Publisher
Springer International Publishing
Reference27 articles.
1. Agrawal, R., Imieliński, T., Swami, A.: Mining association rules between sets of items in large databases. In: ACM SIGMOD Record, vol. 22, pp. 207–216. ACM (1993)
2. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference on Very Large Data Bases, VLDB, vol. 1215, pp. 487–499 (1994)
3. Ait-Mlouk, A., Gharnati, F., Agouti, T.: Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach. Vietnam J. Comput. Sci. 3(4), 235–245 (2016)
4. Bouker, S., Saidi, R., Yahia, S.B., Nguifo, E.M.: Ranking and selecting association rules based on dominance relationship. In: 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, vol. 1, pp. 658–665. IEEE (2012)
5. Chen, M.C.: Ranking discovered rules from data mining with multiple criteria by data envelopment analysis. Expert Syst. Appl. 33(4), 1110–1116 (2007)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities;International Journal on Artificial Intelligence Tools;2022-11
2. Associative Classifier for Evidential Data;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11