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RAID
2010
Springer
15 years 5 months ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter
ICANN
2009
Springer
15 years 4 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 9 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
PERCOM
2003
ACM
16 years 6 months ago
Energy-Aware Target Localization in Wireless Sensor Networks
Wireless distributed sensor networks (DSNs) are important for a number of strategic applications such as coordinated target detection, surveillance, and localization. Energy is a ...
Yi Zou, Krishnendu Chakrabarty
COMSWARE
2007
IEEE
16 years 1 months ago
Topology-based Clusterhead Candidate Selection in Wireless Ad-hoc and Sensor Networks
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. Neighboring devices elect one appropriate device as clusterhead. Due t...
Matthias R. Brust, Adrian Andronache, Steffen Roth...