155 search results - page 28 / 31 » Discovering Structural Patterns in Telecommunications Data |
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ISBRA
2007
Springer
15 years 3 months ago
2007
Springer
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connect...
AUSAI
2003
Springer
15 years 2 months ago
2003
Springer
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
SAC
2009
ACM
15 years 4 months ago
2009
ACM
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...
KDD
2009
ACM
15 years 2 months ago
2009
ACM
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
KDD
2010
ACM
14 years 11 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...