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» Extracting the abstraction pyramid from complex networks
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ICPR
2002
IEEE
15 years 11 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
ACSC
2006
IEEE
15 years 4 months ago
A framework for visual data mining of structures
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...
Hans-Jörg Schulz, Thomas Nocke, Heidrun Schum...
GIS
2004
ACM
15 years 11 months ago
Supporting spatial aggregation in sensor network databases
Sensor networks are unattended deeply distributed systems whose schema can be conceptualized using the relational model. Aggregation queries on the data sampled at each ode are th...
Mehdi Sharifzadeh, Cyrus Shahabi
INFOCOM
2006
IEEE
15 years 4 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...
NETWORKING
2007
14 years 11 months ago
Optimal Topology Design for Overlay Networks
Abstract. The topology creation is one of the most important step for the design of an overlay network. Traffic characteristic and volume, and behavior of nodes which can be sel...
Mina Kamel, Caterina M. Scoglio, Todd Easton