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KDD
2012
ACM
196views Data Mining» more  KDD 2012»
12 years 2 days ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 4 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck
IEEECIT
2009
IEEE
14 years 4 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
SIGMOD
2007
ACM
232views Database» more  SIGMOD 2007»
14 years 9 months ago
BLINKS: ranked keyword searches on graphs
Query processing over graph-structured data is enjoying a growing number of applications. Keyword search on a graph finds a set of answers, each of which is a substructure of the ...
Haixun Wang, Hao He, Jun Yang 0001, Philip S. Yu
TC
1998
13 years 9 months ago
Optimal Elections in Faulty Loop Networks and Applications
—Loop networks (or Hamiltonian circulant graphs) are a popular class of fault-tolerant network topologies which include rings and complete graphs. For this class, the fundamental...
Bernard Mans, Nicola Santoro