Is there a paper on how to select the data to be entered into the model in multivariate time series data?

For example, you have 100 multivariate time series data and want to predict one time series data.
In this case, how do I choose the data I really need to predict from 100 pieces of data?

In addition, if each of these 100 pieces of data is not a number, but an image or text, what can you think of?

Please let me know if there are any papers related to the above.I couldn't find it myself.

deep-learning

2022-09-30 22:03

1 Answers

Generally speaking, you can find papers related to feature selection/feature selection.

https://scholar.google.co.jp/scholar?hl=ja&as_sdt=0%2C5&q=Feature+Selection%3A&btnG=

When I added time series to the search keyword, there were many papers specializing in time series.

2022-09-30 22:03

If you have any answers or tips

Popular Tags

python x 4648

android x 1593

java x 1494

javascript x 1427

c x 927

c++ x 878

ruby-on-rails x 696

php x 692

python3 x 685

html x 656