2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2014★ 1 cited
K-NS: Section-Based Outlier Detection in High Dimensional Space
Zhana Bao
Finding rare information hidden in a huge amount of data from the Internet is a necessary but complex issue. Many researchers have studied this issue and have found effective metho…
cs.AI2014★ 2 cited
Robust Subspace Outlier Detection in High Dimensional Space
Zhana Bao
Rare data in a large-scale database are called outliers that reveal significant information in the real world. The subspace-based outlier detection is regarded as a feasible approa…
cs.AI2014★ 1 cited
Finding Inner Outliers in High Dimensional Space
Zhana Bao
Outlier detection in a large-scale database is a significant and complex issue in knowledge discovering field. As the data distributions are obscure and uncertain in high dimension…