652 search results - page 31 / 131 » Accelerated EM-based clustering of large data sets |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
ASPLOS
2010
ACM
14 years 2 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
APVIS
2010
13 years 9 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...