Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level ...
Key issues to address in autonomic job recovery for cluster computing are recognizing job failure; understanding the failure sufficiently to know if and how to restart the job; an...
Charles Earl, Emilio Remolina, Jim Ong, John Brown...
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...
The Internet is one of the fastest growing areas of intelligence gathering. We present a statistical approach, called principal clusters analysis, for analyzing millions of user n...
Harris Wu, Michael D. Gordon, Kurt DeMaagd, Weiguo...