Abstract
In this chapter, we will assume that detection and estimation went optimally, and focus on the next stage—analyzing and mining the time series data. We shall begin with exploring some well-known time series analysis methods, followed by a description of how they can be used in social multimedia signal landscape. Later in this chapter, we will discuss the Attention Automaton, a probabilistic finite automata that can estimate the collective attention of some user community.
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Roy, S.D., Zeng, W. (2015). Following Signal Trajectories. In: Social Multimedia Signals. Springer, Cham. https://doi.org/10.1007/978-3-319-09117-4_7
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DOI: https://doi.org/10.1007/978-3-319-09117-4_7
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