Approach to classify blocks of time series

Question

I am wondering if there exists an approach to classify blocks of time series, and not specifically individual time series. If so, can you point me out papers/articles/tutorials where these type of data are classified ?

For example : We would extract time series for each country that depict these information : Human Development Index evolution, urbanization, financial situation, investments, etc. If we group all these time series we would make a block of economical information for each country. The countries are already pre-classified to developed, underdeveloped, or semi-developed countries.

Answer 1

If you choose to ignore the time component, then the problem can be framed as multi-class classification. You can use any multi-class classification algorithm (e.g., naive Bayes, logistics regression, or a neural network).

Your particular problem would be predicting one of the three country states based on the features for that country.