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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
15 years 1 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
BMCBI
2006
161views more  BMCBI 2006»
15 years 4 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang
BMCBI
2010
131views more  BMCBI 2010»
14 years 11 months ago
Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity
Background: The dynamic motions of many proteins are central to their function. It therefore follows that the dynamic requirements of a protein are evolutionary constrained. In or...
Márton Münz, Rune B. Lyngsø, Jo...
166
Voted
CIKM
2011
Springer
14 years 3 months ago
Effective retrieval of resources in folksonomies using a new tag similarity measure
Social (or folksonomic) tagging has become a very popular way to describe content within Web 2.0 websites. However, as tags are informally defined, continually changing, and ungo...
Giovanni Quattrone, Licia Capra, Pasquale De Meo, ...
120
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KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 4 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford