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» On Clustering Using Random Walks
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COMAD
2009
13 years 8 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
COMCOM
2008
145views more  COMCOM 2008»
13 years 7 months ago
A game-theoretic intrusion detection model for mobile ad hoc networks
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
IJDSN
2006
114views more  IJDSN 2006»
13 years 7 months ago
The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense
The ability of sensor nodes to enter a low power sleep mode is very useful for extending network longevity. We show how adversary nodes can exploit clustering algorithms to ensure ...
Matthew Pirretti, Sencun Zhu, Narayanan Vijaykrish...
BMCBI
2004
91views more  BMCBI 2004»
13 years 7 months ago
SIGI: score-based identification of genomic islands
Background: Genomic islands can be observed in many microbial genomes. These stretches of DNA have a conspicuous composition with regard to sequence or encoded functions. Genomic ...
Rainer Merkl
CRV
2009
IEEE
237views Robotics» more  CRV 2009»
14 years 2 months ago
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...
Alexander Wong, David A. Clausi, Paul W. Fieguth