We report here empirical results of a series of studies aimed at automatically predicting information quality in news documents. Multiple research methods and data analysis techni...
Rong Tang, Kwong Bor Ng, Tomek Strzalkowski, Paul ...
—We propose to use multiscale entropy analysis in characterisation of network traffic and spectrum usage. We show that with such analysis one can quantify complexity and predict...
Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
Claudia Angelini, Luisa Cutillo, Daniela De Candit...
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...