Deep Learning in Time Series Analysis

6 Dynamic Models for Sequential Data Analysis

A time series, as a set of the sequential data points with a certain time order, typically carries information in its dynamic alterations over the samples. It is often seen that the samples are sequentially ordered in time, as expected from the term time series, which makes the notion dynamic contents meaningful in this context. The difference between sequential data and time series, lies at this point that in the time series case, the data sequence is ordered with respect to time, elapsing at a certain priori-known rate, whereas in the sequential data case, the temporal rate might not be consistent. This is in fact, the way of looking at data. Another important point to be noted, is the fact that ...