528 search results - page 35 / 106 » Mining Subspace Correlations |
KDD
1998
ACM
13 years 12 months ago
1998
ACM
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
CNSR
2008
IEEE
14 years 2 months ago
2008
IEEE
One of the most important steps in attack detection using Intrusion Detection Systems (IDSs) is dealing with huge number of alerts that can be either critical single alerts and mu...