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CIARP
2005
Springer
16 years 9 days ago
Dynamic Hierarchical Compact Clustering Algorithm
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Reynaldo Gil-García, José Manuel Bad...
ISMIS
2005
Springer
16 years 8 days ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
ICCS
2004
Springer
16 years 4 days ago
Using Runtime Measurements and Historical Traces for Acquiring Knowledge in Parallel Applications
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Luciano José Senger, Marcos José San...
IWANN
1997
Springer
15 years 11 months ago
Recognition Model with Extension Fields
A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of huma...
Peter Kalocsai
CIKM
2009
Springer
15 years 10 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu