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PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
15 years 8 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 ...
IJCAI
2003
15 years 3 months ago
Mining Video Associations for Efficient Database Management
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...
Xingquan Zhu, Xindong Wu
WEBI
2010
Springer
14 years 11 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
GECCO
2003
Springer
322views Optimization» more  GECCO 2003»
15 years 6 months ago
AntClust: Ant Clustering and Web Usage Mining
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Nicolas Labroche, Nicolas Monmarché, Gilles...
ICAI
2004
15 years 3 months ago
K-medoid-style Clustering Algorithms for Supervised Summary Generation
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Nidal M. Zeidat, Christoph F. Eick