42 search results - page 2 / 9 » A sampling-based framework for parallel data mining |
TKDE
2012
11 years 7 months ago
2012
—Computing interesting measures for data cubes and subsequent mining of interesting cube groups over massive datasets are critical for many important analyses done in the real wo...
HPDC
2006
IEEE
13 years 10 months ago
2006
IEEE
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
KDD
1997
ACM
13 years 8 months ago
1997
ACM
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
IDEAS
1999
IEEE
13 years 9 months ago
1999
IEEE
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...