Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
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...
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...
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...
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...