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DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 11 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
BMCBI
2011
13 years 2 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 11 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
14 years 5 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
BMCBI
2007
177views more  BMCBI 2007»
13 years 10 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni