Author:
Samet Ahmed,Gaudin Théophile,Lu Huiling,Wadouachi Anne,Pourceau Gwladys,Van Hecke Elisabeth,Pezron Isabelle,El Kirat Karim,Dao Tien-Tuan
Publisher
Springer International Publishing
Reference19 articles.
1. Seeja, K., Zareapoor, M.: Fraudminer: A novel credit card fraud detection model based on frequent itemset mining. Sci. World J. 2014 (2014).
http://dx.doi.org/10.1155/2014/252797
2. Chen, Z., Chen, G.: Building an associative classifier based on fuzzy association rules. Int. J. Comput. Intell. Syst. 1(3), 262–273 (2008)
3. Dehaspe, L., Toivonen, H., King, R.D.: Finding frequent substructures in chemical compounds. In: Proceeding of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD 1998), New York City, New York, USA, pp. 30–36 (1998)
4. King, R.D., Srinivasan, A., Dehaspe, L.: Warmr: a data mining tool for chemical data. J. Comput. Aided Mol. Des. 15(2), 173–181 (2001)
5. Sarfraz Iqbal, M., Golsteijn, L., Öberg, T., Sahlin, U., Papa, E., Kovarich, S., Huijbregts, M.A.: Understanding quantitative structure-property relationships uncertainty in environmental fate modeling. Environ. Toxicol. Chem. 32(5), 1069–1076 (2013)
Cited by
4 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. Associative Classifier for Evidential Data;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11
2. Multi-frame decision fusion based on evidential association rule mining for target identification;Applied Soft Computing;2020-09
3. On indexing evidential data;International Journal of Approximate Reasoning;2019-03
4. Modeling evidential databases as possible worlds;International Journal of Intelligent Systems;2018-03-08