58 search results - page 2 / 12 » A scalable supervised algorithm for dimensionality reduction... |
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 ...
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
ICIC
2009
Springer
13 years 9 months ago
2009
Springer
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...