Outlier detection for high-dimensional data
By Kwang H. Ro, Changliang Zou, Zhaojun Wang, Guosheng Yin. 2015
158 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e5208097b88a4f0d73c28c3c669b17ed8f369c22
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Gianluca Bontempi
- Andrea Dal Pozzolo
- Mohamed Hammad
- Mohamed Jaward Bah
- Hongzhi Wang
- Fei Ye
- Adrian G. Bors
In Statistics and Probability
Citations in the corpus
- Adaptive Machine Learning for Credit Card Fraud Detection (2015, background): “Global Approaches The work presented in [211] addresses high dimensional spaces.”
- Progress in Outlier Detection Techniques: A Survey (2019, background): “One of the critical underlining drawbacks of most distance-based methods is their inability to scale well for very high dimensional data sets [144].”