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IJON
2007
93views more  IJON 2007»
13 years 8 months ago
Development of multi-cluster cortical networks by time windows for spatial growth
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
Marcus Kaiser, Claus C. Hilgetag
ICDCN
2009
Springer
14 years 1 months ago
Optimizing Multi-hop Queries in ZigBee Based Multi-sink Sensor Networks
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
Bing Han, Gwendal Simon
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 8 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
GSN
2009
Springer
155views Sensor Networks» more  GSN 2009»
14 years 8 days ago
Distributed Network Configuration for Wavelet-Based Compression in Sensor Networks
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
Paula Tarrío, Giuseppe Valenzise, Godwin Sh...
TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari