We introduce an efficient approach to mining multi-dimensional temporal streams of real-
world data for ordered temporal motifs that can be used for prediction. Since many of the …

Tornadoes, which are one of the most feared natural phenomena, present a significant
challenge to forecasters who strive to provide adequate warnings of the imminent danger …

The multidimensional data model has emerged during the last decade for facilitating the
analysis of huge datasets to help in decision-making. This data model can be effectively …

This thesis investigates the problem of pattern matching and detection in extremely resource
constrained Wireless Sensor Networks (WSNs). Specifically, it introduces a collection of in …

E'stato sviluppato un approccio di anomaly detection basato su tecniche di clustering e di
consenso che sfrutta la potenza della discretizzazione SAX e la specificità delle serie …

Time series data are daily produced in massive proportions in virtually every field. Most of
the data are stored in time series databases. To find patterns in the databases is an …

A análise e modelação dos sons de animais com o fim de estudar a sua biodiversidade são
possíveis graças a uma ciência multidisciplinar denominada bioacústica. Este trabalho tem …

We introduce an efficient approach to mining multi-dimensional temporal streams of real-
world data for ordered temporal motifs that can be used for prediction. Since many of the …