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ISMB
1993
15 years 5 months ago
Knowledge Discovery in GENBANK
Wedescribe various methods designed to discover knowledge in the GenBanknucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a ge...
Jeffery S. Aaronson, Juergen Haas, G. Christian Ov...
IJDMMM
2010
128views more  IJDMMM 2010»
15 years 2 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
SAC
2009
ACM
15 years 11 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
GRC
2005
IEEE
15 years 10 months ago
Visualization of protein-protein interaction network for knowledge discovery
A new visualization tool, called "Visual Concept Explorer (VCE)", was developed to visualize concept relationships in bio-medical literatura VCE integrates Pathfinder Net...
Weizhong Zhu, Xia Lin, Xiaohua Hu, Bahrad A. Sokha...
AAAI
2007
15 years 6 months ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman