694 search results - page 4 / 139 » On the Dimensions of Data Complexity through Synthetic Data ... |
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
PSD
2004
Springer
14 years 28 days ago
2004
Springer
Generation of a synthetic microdata set that reproduces the statistical properties of an original microdata set is a promising approach to statistical disclosure control (SDC) of m...
AMW
2010
13 years 9 months ago
2010
A Data Warehouse (DW) is a data repository that integrates data from multiple sources and organizes the data according to a set of data structures called dimensions. Each dimension...
ISNN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...