1301 search results - page 115 / 261 » Default Clustering from Sparse Data Sets |
SIGMOD
2001
ACM
14 years 9 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
SOSP
2009
ACM
14 years 6 months ago
2009
ACM
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...