Author:
Şeref Onur,Razzaghi Talayeh,Xanthopoulos Petros
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Reference63 articles.
1. Abe, N., Zadrozny, B., & Langford, J. (2006). Outlier detection by active learning. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp. 504–509.
2. Anyfantis, D., Karagiannopoulos, M., Kotsiantis, S., & Pintelas, P. (2007). Robustness of learning techniques in handling class noise in imbalanced datasets. In Artificial intelligence and innovations 2007: From theory to applications. Springer, pp. 21–28.
3. Asuncion, A., & Newman, D. J. (2007). UCI machine learning repository. Irvine: University of California, School of Information and Computer Sciences. http://archive.ics.uci.edu/ml .
4. Breunig, M., Kriegel, H., Ng, R., & Sander, J. (2000) Lof: Identifying density-based local outliers. In ACM sigmod record, Vol. 29, no. 2. ACM, pp. 93–104.
5. Brodley, C. E., & Friedl, M. A. (1999). Identifying mislabeled training data. Journal Of Artificial Intelligence Research, 11, 131–167.
Cited by
20 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