A WEB FRAMEWORK FOR ADVANCED AND INTENSIVE NONLINEAR TIME SERIES ANALYSIS
Bruno B. F. Leonor, Walter Abrahão dos Santos, Asiel Bomfin, Reinaldo Roberto Rosa · Anais da ... Semana Jurídica · 2016
Using the e-Science paradigm, computers play a key role in supporting scientific areas such as those using nonlinear time series analysis to understand seemingly unpredictable behavior. This work presents a web framework supporting researchers in this class of analysis in a cloud environment where they can access, parameterize, initialize and monitor their applications transparently. Moreover, new applications can be added and managed by researchers on the portal easily. As a case study, techniques such as detrended fluctuation analysis (DFA) and gradient pattern analysis (GPA) will be added and used for intensive time series analysis in the Brazilian Space Weather Program.