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PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
15 years 10 months ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 4 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
CLUSTER
2003
IEEE
15 years 9 months ago
Performance Analysis of Java Message-Passing Libraries on Fast Ethernet, Myrinet and SCI Clusters
The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will larg...
Guillermo L. Taboada, Juan Touriño, Ramon D...
141
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AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak