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PRL
2010
158views more  PRL 2010»
13 years 5 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
TJS
2010
182views more  TJS 2010»
13 years 5 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
TMC
2010
112views more  TMC 2010»
13 years 5 months ago
Comparison of Data-Driven Link Estimation Methods in Low-Power Wireless Networks
Abstract—Link estimation is a basic element of routing in lowpower wireless networks, and data-driven link estimation using unicast MAC feedback has been shown to outperform broa...
Hongwei Zhang, Lifeng Sang, Anish Arora
WCRE
2010
IEEE
13 years 5 months ago
Software Process Recovery: Recovering Process from Artifacts
—Often stakeholders, such as developers, managers, or buyers, want to find out what software development processes are being followed within a software project. Their reasons in...
Abram Hindle
GLOBECOM
2010
IEEE
13 years 4 months ago
An Experimental Comparison of Burst Packet Transmission Schemes in IEEE 802.11-Based Wireless Mesh Networks
Abstract--Wireless mesh networks (WMNs) are wireless multihop networks comprised of mesh routers, which relay traffic on behalf of clients and other nodes. Using the standard IEEE ...
Peter Dely, Andreas Kassler, Nico Bayer, Dmitry Si...
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