Many applications seek to make sense of high volume streaming data from social media by
identifying spatiotemporal patterns. Events, representing topics that emerge and decay over …

Time series data are usually collected through instruments equipped with sensors. For multi-
sensor time series (MSTS), it is crucial to identify the factors that affect tasks such as …

Geo-social media data involve various kinds of inhomogeneities. These can concern,
amongst others, the users, but also spatial distributions or the fact that the most frequently …

In this paper, a quantitative temporal and spatial analysis of the dynamics of hot topics
popularity in Micro-blogging system was provided. Firstly, the popularity time series of 1167 …

ABSTRACT A large amount of time-series data has been frequently used to extract the
useful patterns and trends and to visualize them for better understanding. This work is …

Résumé La détection d'événements à partir de textes est un défi encore aujourd'hui. En
effet, les sources de données textuelles sont plus diversifiées avec les nouvelles …