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» On Generating Random Network Structures: Connected Graphs
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KAIS
2011
129views more  KAIS 2011»
14 years 7 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 21 days ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli
CP
2006
Springer
15 years 4 months ago
Reasoning by Dominance in Not-Equals Binary Constraint Networks
Dynamic detection and elimination of symmetry in constraints, is in general a hard task, but in Not-Equals binary constraint networks, the symmetry conditions can be simplified. I...
Belaid Benhamou, Mohamed Réda Saïdi
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
15 years 6 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
ITBAM
2010
14 years 11 months ago
A Comorbidity Network Approach to Predict Disease Risk
A prediction model that exploits the past medical patient history to determine the risk of individuals to develop future diseases is proposed. The model is generated by using the s...
Francesco Folino, Clara Pizzuti, Maria Ventura