8 search results - page 1 / 2 » Identifying Information-Rich Subspace Trends in High-Dimensi... |
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
DEXA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...