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» Data Clustering: A Review
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AI
2005
Springer
16 years 9 days ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
PDCAT
2004
Springer
16 years 3 days ago
Locabus: A Kernel to Kernel Communication Channel for Cluster Computing
Abstract. This paper proposes a kernel to kernel communication system for use in cluster computers. It is implemented directly on the Ethernet data link layer. This allows use of E...
Paul Werstein, Mark Pethick, Zhiyi Huang
BMCBI
2005
112views more  BMCBI 2005»
15 years 6 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
WISA
2009
Springer
16 years 1 months ago
When Compromised Readers Meet RFID
RFID-based access control solutions for mobile environments, e.g. ticketing systems for sport events, commonly rely on readers that are not continuously connected to the back-end s...
Gildas Avoine, Cédric Lauradoux, Tania Mart...
FINANCECOM
2007
Springer
209views Finance» more  FINANCECOM 2007»
16 years 28 days ago
Information Risk in Financial Institutions: Field Study and Research Roadmap
Abstract. Large financial firms with thousands of employees face many challenges ensuring workers have access to the right information, yet controlling access to unneeded data. We ...
Sara Sinclair, Sean W. Smith, Stephanie Trudeau, M...