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» Social Network Discovery Based on Sensitivity Analysis
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SDM
2008
SIAM
164views Data Mining» more  SDM 2008»
13 years 9 months ago
Randomizing Social Networks: a Spectrum Preserving Approach
Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
Xiaowei Ying, Xintao Wu
CIBCB
2007
IEEE
13 years 11 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
KCAP
2005
ACM
14 years 1 months ago
CORDER: COmmunity relation discovery by named entity recognition
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
Jianhan Zhu, Alexandre L. Gonçalves, Victor...
LREC
2010
196views Education» more  LREC 2010»
13 years 9 months ago
Ontology Based Law Discovery
The vast amount of information freely available on the Web constitutes a unparalleled resource for the automatic knoweledge discovery and learning. In this paper we propose a study...
Alessio Bosca, Luca Dini
WWW
2006
ACM
14 years 8 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...