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ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
16 years 11 days ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ISBRA
2007
Springer
16 years 15 days ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
JDCTA
2010
130views more  JDCTA 2010»
15 years 1 months ago
A Search Algorithm for Clusters in a Network or Graph
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
Dongming Chen, Jing Wang, Xiaodong Chen, Xiaowei X...
CORR
2011
Springer
243views Education» more  CORR 2011»
15 years 1 months ago
Localization from Incomplete Noisy Distance Measurements
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
Adel Javanmard, Andrea Montanari
SC
2009
ACM
16 years 1 months ago
Evaluating use of data flow systems for large graph analysis
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
Andy Yoo, Ian Kaplan