688 search results - page 16 / 138 » Identifying Clusters from Positive Data |
WEBI
2009
Springer
15 years 4 months ago
2009
Springer
The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a netwo...
101
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
112
click to vote
BMCBI
2010
14 years 9 months ago
2010
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
105
click to vote
APWEB
2006
Springer
15 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ISMIS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...