Questions tagged [time-series-analysis]

The tag has no usage guidance.

7 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
5
votes
1answer
166 views

Predicting next action to take to reach a final state

Does anyone know of an algorithm that could be used to determine the next action to take to reach a desired state when trained on time-series data? For example, a robot starts at a certain state, ...
1
vote
0answers
34 views

Algorithm for detecting a finite limit of time-series numbers

Is there a well known and proven algorithm to find the TOP (finite) limit of a set of points, which are time based metrics? I'm looking for an existing implementation, in order not to invent the wheel ...
1
vote
0answers
17 views

How to add important events as input in neural network?

I'm quite new to neural networks so I apologize if this question is too basic/doesn't really make sense. I have a financial time series dataset and I have a binary variable which is 0 if no important ...
1
vote
0answers
24 views

What is the fine line between time series data anlysis and time series data mining?

I am trying to do thesis work in Computer science and the data mining in time series is the relevant theme, however the analysis of time series is not (it is mathematics subject). What is the fine ...
1
vote
0answers
42 views

detecting anomalies in time series data

I work on a web project that handles region based user submissions. We currently have about 50 regions, some receive a large number of submissions, some receive next to none. We also ingest case ...
0
votes
0answers
67 views

Clustering non-overlapping time series

I have thousands of times series of different length and different time. I want to group them together so that I know the optimal ones to pick as input for a ML algorithm and to document how they are ...
0
votes
0answers
150 views

Is there an algorithm to “learn” the nonlinear relationship between variables?

Suppose those random variables are represented as scalar time series with nonlinear relationship (thus applying linear correlation or covariance would be futile) that may change over time, then is ...