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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 6 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 6 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 6 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
CHI
2005
ACM
16 years 6 months ago
Applying the lessons of the attack on the world trade center, 11th September 2001, to the design and use of interactive evacuati
The collapse of buildings, such as terminal 2E at Paris' Charles de Gaule Airport, and of fires, such as the Rhode Island, Station Night Club tragedy, has focused public atte...
C. W. Johnson