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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 4 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
ARSCOM
2008
192views more  ARSCOM 2008»
13 years 7 months ago
Bounds on the metric and partition dimensions of a graph
Given a graph G, we say S V (G) is resolving if for each pair of distinct u, v V (G) there is a vertex x in S where d(u, x) = d(v, x). The metric dimension of G is the minimum c...
Glenn G. Chappell, John G. Gimbel, Chris Hartman
EMNLP
2011
12 years 7 months ago
Class Label Enhancement via Related Instances
Class-instance label propagation algorithms have been successfully used to fuse information from multiple sources in order to enrich a set of unlabeled instances with class labels...
Zornitsa Kozareva, Konstantin Voevodski, Shang-Hua...
ASUNAM
2009
IEEE
14 years 2 months ago
Social Network Model Based on Keyword Categorization
A user profile on an online social network is characterized by its profile entries (keywords). In this paper, we study the relationship between semantic similarity of user keywo...
Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix...
HICSS
1997
IEEE
75views Biometrics» more  HICSS 1997»
13 years 11 months ago
The Voting-Type Technique in the Refinement of Multiple Expert Knowledge
The goal of this paper is to develop methods to handle inconsistent knowledge elicited from multiple sources. Knowledge is represented using predicates that define relationships w...
Seppo Puuronen, Vagan Y. Terziyan