587 search results - page 31 / 118 » Clustering Improves the Exploration of Graph Mining Results |
WAW
2009
Springer
15 years 6 months ago
2009
Springer
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
118
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TVCG
2008
14 years 11 months ago
2008
Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In thi...
101
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ICWS
2009
IEEE
15 years 9 months ago
2009
IEEE
The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch sche...
COMAD
2009
15 years 26 days ago
2009
Keyword search on data represented as graphs, is receiving lot of attention in recent years. Initial versions of keyword search systems assumed that the graph is memory resident. ...
KDD
2007
ACM
16 years 5 days ago
2007
ACM
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...