1298 search results - page 120 / 260 » Categorizing Vulnerabilities Using Data Clustering Technique... |
83
Voted
DEXA
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
119
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JMLR
2011
14 years 10 months ago
2011
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
124
Voted
AAAI
2012
13 years 5 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
265
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FUIN
2011
14 years 7 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
135
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BMCBI
2005
15 years 3 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...