TKDE
2010
12 years 11 months ago
2010
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
COLING
1996
13 years 5 months ago
1996
Sparse Data by Successive Abstraction Christer Samuelsson Universit
CIDR
2007
13 years 6 months ago
2007
While it is generally accepted that data warehouses and OLAP workloads are excellent applications for column-stores, this paper speculates that column-stores may well be suited fo...
BALT
2006
13 years 8 months ago
2006
Abstract. On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in hug...
ISCA
2008
IEEE
13 years 11 months ago
2008
IEEE
The current trend is for processors to deliver dramatic improvements in parallel performance while only modestly improving serial performance. Parallel performance is harvested th...
SIGMOD
2007
ACM
14 years 4 months ago
2007
ACM
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
ICDE
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we propose the first formal privacy analysis of a data anonymization process known as the synthetic data generation, a technique becoming popular in the statistics c...
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...