587 search results - page 33 / 118 » Clustering Improves the Exploration of Graph Mining Results |
106
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CORR
2007
Springer
14 years 11 months ago
2007
Springer
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
LWA
2007
15 years 1 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
138
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TKDE
2011
14 years 6 months ago
2011
—This work introduces a link-analysis procedure for discovering relationships in a relational database or a graph, generalizing both simple and multiple correspondence analysis. ...
ICDM
2003
IEEE
15 years 5 months ago
2003
IEEE
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
AAAI
2008
15 years 2 months ago
2008
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...