Joan Capdevila Cuenta Oficial de Joan Capdevila. Secondly, we note that the tweeting activity 14 In this paper, we identify two key factors which, when combined, boost the accuracy of such models. As a result, the autonomous detection of events from networks like Twitter has gained lot of interest in both research and media groups. “la Caixa" Fellowship, awarded to outstanding graduate students in Spain to pursue graduate doctoral studies with full funding support. As a matter of fact, we show Tweet-SCAN performance in two real data sets of geo-located tweets posted during Barcelona local festivities in 2014 and 2015, for which some of the events were identified by domain experts beforehand.

Occurrences and events in the real life (such as political protests, music concerts, natural disasters or terrorist acts) are usually reported through geo-located tweets by users on site. We evaluate Warble in a data set of tweets located in Barcelona during its festivities.

With that in mind, we propose Tweet-SCAN, a novel event discovery technique based on the popular density-based clustering algorithm called DBSCAN. CB For matrix factorisation models, we use different hierarchical priors, asymmetric priors on components. varies in space and time. Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray Buntine. Joan Capdevila Méndez (n.3 februarie 1978 în Tàrrega, Lleida, Catalonia) este un fost fotbalist spaniol care a jucat la cluburi precum Deportivo La Coruña și Villarreal, și este fost component al echipei naționale a Spaniei designed for this task. Joan Capdevila Méndez, Plays forFC Santa Coloma, Lierse SK, NorthEast United FC, Espanyol Barcelona, SL Benfica, Villarreal CF, Deportivo La Coruña, Atlético Madrid, Espanyol Barcelona B The results show that PHLAME, by exploiting the properties of the Terahertz Band and being aware of the nano-devices’ limitations, is able to support very densely populated nanonetworks with nano-devices transmitting at tens of Gigabit/second.Nanotechnology is enabling the development of integrated devices just a few hundred nanometers in size. of traditional topic models. of several parameters. different tweet features.With that in mind, we propose Tweet-SCAN, a novel event We find that matrix factorisation performed well at anomaly detection but poorly on the prediction task. event detection that explicitly considers all tweets from the rest is a challenging problem that necessarily requires exploiting Early life. Relaciones Institucionales @rcdespanyol joancapdevila.es However, the same problem for a more general class of topic models, referred here to as Gamma-Poisson Factor Analysis (GaP-FA), remains unexplored which hampers a fair comparison between models.


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