389 search results - page 5 / 78 » Rank Selection in Multidimensional Data |
SEBD
2008
13 years 9 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
IVS
2008
13 years 7 months ago
2008
Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visual...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
DOLAP
2005
ACM
13 years 9 months ago
2005
ACM
Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context ass...
ICDE
2000
IEEE
14 years 8 months ago
2000
IEEE
Time-series data, which are a series of one-dimensional real numbers, have been studied in various database applications. In this paper, we extend the traditional similarity searc...