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» Network anomaly detection based on TCM-KNN algorithm
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CANDC
2006
ACM
13 years 7 months ago
Identification of functional modules in a PPI network by clique percolation clustering
Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochem...
Shi-Hua Zhang, Xue-Mei Ning, Xiang-Sun Zhang
WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
SAC
2004
ACM
14 years 1 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
WSCG
2004
118views more  WSCG 2004»
13 years 9 months ago
Combining Geometrical and Mechanical Displacements for Suppressing Intersections in Cartographic Generalization
This paper describes a method for suppressing spatial conflicts in cartographic generalization of isobathymetric lines. These lines are modeled by parametric curves. For that purp...
Eric Guilbert, Eric Saux, Marc Daniel
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
14 years 2 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai