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» Significance-Driven Graph Clustering
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COMAD
2009
15 years 1 months ago
Graph Clustering for Keyword Search
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. ...
Rose Catherine K., S. Sudarshan
ASUNAM
2009
IEEE
15 years 5 months ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski
IWPC
2000
IEEE
15 years 5 months ago
The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
Derek Rayside, Steve Reuss, Erik Hedges, Kostas Ko...
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ICONIP
2008
15 years 2 months ago
Neurocognitive Approach to Clustering of PubMed Query Results
Abstract. Internet literature queries return a long lists of citations, ordered according to their relevance or date. Query results may also be represented using Visual Language th...
Pawel Matykiewicz, Wlodzislaw Duch, Paul M. Zender...
JGAA
2007
124views more  JGAA 2007»
15 years 14 days ago
Energy Models for Graph Clustering
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
Andreas Noack