Power dissipation and off-chip bandwidth restrictions are critical challenges that limit
microprocessor performance. Ternary content addressable memories (TCAM) hold the …

The problem of discovering frequent arrangements of temporal intervals is studied. It is
assumed that the database consists of sequences of events, where an event occurs during a …

In this paper, we propose an efficient graph-based mining (GBM) algorithm for mining the
frequent trajectory patterns in a spatial–temporal database. The proposed method …

In this paper we study a new problem in temporal pattern mining: discovering frequent
arrangements of temporal intervals. We assume that the database consists of sequences of …

Extracting frequent patterns from databases has always been an imperative task for the data
mining community. Literature has endowed plentiful endeavors to this research area with …

Sequential pattern mining allows to discover temporal relationship between items within a
database. The patterns can then be used to generate association rules. When the databases …

Constraint-based mining of sequential patterns is an active research area motivated by
many application domains. In practice, the real sequence datasets can present consecutive …

Enterprise applications are becoming increasingly complex. In recent times they have
moved away from monolithic architectures to more distributed systems made up of a …

Depuis le début des années 80, les méthodes statistiques et, plus spécifiquement, les
méthodes d'apprentissage appliquées au traitement de données textuelles connaissent un …

The time-interval between the antecedent and the consequent of a sequential rule can be
considered as an important aspect in sequential rules interest. For example, in web logs …