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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
13 years 10 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
BMCBI
2008
124views more  BMCBI 2008»
13 years 5 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 5 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 3 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
PEWASUN
2004
ACM
13 years 11 months ago
A novel solution for achieving anonymity in wireless ad hoc networks
A mobile ad hoc network consists of mobile nodes that can move freely in an open environment. Communicating nodes in a wireless and mobile ad hoc network usually seek the help of ...
Azzedine Boukerche, Khalil El-Khatib, Li Xu, Larry...