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SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 6 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...
WWW
2007
ACM
14 years 9 months ago
The complex dynamics of collaborative tagging
The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems...
Harry Halpin, Valentin Robu, Hana Shepherd
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 9 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
14 years 4 months ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
HICSS
2003
IEEE
90views Biometrics» more  HICSS 2003»
14 years 2 months ago
Web Community of Agents for the Integrated Logistics of Industrial Districts
The industrial districts are characterized by the agglomeration of medium and small-sized industries, localized within a certain geographic area with precise social and cultural c...
Mauro Dell'Orco, Raffaele Giordano