745 search results - page 92 / 149 » On Generating Random Network Structures: Connected Graphs |
98
Voted
KDD
2003
ACM
16 years 1 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
87
Voted
MONET
2007
15 years 3 days ago
2007
— Large-scale mobile ad-hoc networks require flexible and stable clustered network structure for efficient data collection and dissemination. In this paper, a scheme is present...
SIGMOD
2010
ACM
15 years 5 months ago
2010
ACM
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...
108
Voted
HICSS
2005
IEEE
15 years 6 months ago
2005
IEEE
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
87
Voted
DAGSTUHL
2007
15 years 2 months ago
2007
Automated political districting shares with electronic voting the aim of preventing electoral manipulation and pursuing an impartial electoral mechanism. Political districting can...