51 search results - page 10 / 11 » On Detecting Clustered Anomalies Using SCiForest |
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
IMC
2007
ACM
13 years 7 months ago
2007
ACM
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
ICDM
2006
IEEE
14 years 6 days ago
2006
IEEE
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
ICDM
2009
IEEE
14 years 24 days ago
2009
IEEE
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...