Author:
Lüdtke Stefan,Bartelt Christian,Stuckenschmidt Heiner
Publisher
Springer Nature Switzerland
Reference25 articles.
1. Aggarwal, C.C.: Data Mining. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14142-8
2. Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp. 93–104 (2000)
3. Duan, L., Tang, G., Pei, J., Bailey, J., Campbell, A., Tang, C.: Mining outlying aspects on numeric data. Data Min. Knowl. Discov. 29(5), 1116–1151 (2015). https://doi.org/10.1007/s10618-014-0398-2
4. Gens, R., Domingos, P.: Learning the structure of sum-product networks. In: International Conference on Machine Learning, pp. 873–880. PMLR (2013)
5. Goldstein, M., Dengel, A.: Histogram-based outlier score (HBOS): a fast unsupervised anomaly detection algorithm. In: KI-2012: Poster and Demo Track 9 (2012)