The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
In this paper we propose a new operator for advanced exploration of large multidimensional databases. The proposed operator can automatically generalize from a specific problem c...
Abstract. Most intrusion detection systems deployed today apply misuse detection as detection procedure. Misuse detection compares the recorded audit data with predefined patterns,...
We present TimeNets, a new visualization technique for genealogical data. Most genealogical diagrams prioritize the display of generational relations. To enable analysis of famili...
Biologists are increasingly using databases for storing and managing their data. Biological databases typically consist of a mixture of raw data, metadata, sequences, annotations,...
Mohamed Y. Eltabakh, Mourad Ouzzani, Walid G. Aref