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133
Voted
EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 2 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 7 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
100
Voted
CCGRID
2005
IEEE
15 years 8 months ago
Instant attack stopper in InfiniBand architecture
With the growing popularity of cluster architectures in datacenters and the sophistication of computer attacks, the design of highly secure clusters has recently emerged as a crit...
Manhee Lee, Mazin S. Yousif
137
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 2 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
99
Voted
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
15 years 8 months ago
Explaining ICT Infrastructure and E-Commerce Uses and Benefits in Industrial Clusters: Evidence from a Biotech Cluster
The literature on industrial clusters has not focused heavily on the role of the ICT infrastructure, nor on the potential implications of electronic commerce . In this paper, we e...
Charles Steinfield, Ada Scupola