Funder
National Social Science Fund of China
Youth Innovation Fund of Promotion Association, CAS
Natural Science Foundation of Shandong Province, China
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference72 articles.
1. Ahlgren, P., & Colliander, C. (2009). Document–document similarity approaches and science mapping: Experimental comparison of five approaches. Journal of Informetrics, 3(1), 49–63.
2. Antal, P., Fannes, G., Timmerman, D., Moreau, Y., & De Moor, B. (2004). Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artificial Intelligence in Medicine, 30(3), 257–281.
3. Antal, P., Glenisson, P., & Fannes, G. (2002). On the potential of domain literature for clustering and Bayesian network learning. In Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 405–414).
4. Antal, P., & Millinghoffer, A. (2006). Learning causal bayesian networks from literature data. Periodica Polytechnica Electrical Engineering, 50(3/4), 201.
5. Ayad, H., Basir, O., & Kamel, M. (2004). Multiple classifier systems (pp. 144–153). Heidelberg: Springer.
Cited by
13 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