Questions tagged [time-series-analysis]
The time-series-analysis tag has no usage guidance.
1
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1answer
61 views
Which time series prediction techniques are useful given harmonic properties?
I have a time series dataset where events have harmonic properties, and seemingly the nature of the event's early segments can determine the remainder of the event (see example 1's oscillations). ...
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0answers
32 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
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1answer
66 views
Constant time range sum query
I need to come up with a data structure that supports the following interface:
new(time_stamp x, value v): insert a new data v for time stamp x
update(time_stamp x, value v): update the data for ...
1
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0answers
16 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 ...
0
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1answer
26 views
How to evaluate the learned prototypes for multivariate time-series (e.g. motion)?
Consider a method which finds prototypes for multivariate time-series (MTS) data, and is designed to find prototypes for each class of data.
For example, the {walking} class consists of some slightly ...
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0answers
40 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 ...
1
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0answers
252 views
Using machine learning to detect trend reversal in a time series [closed]
I'm starting to learn machine learning, and have honed in on a problem to get my hands dirty with: how to detect a trend reversal in a time series.
I've asked this question on stats.SE more than a ...
0
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0answers
126 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 ...
0
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1answer
50 views
Finding a subarray of time series data in which all values are less than X for specified time Y?
The idea is to find an anomalous value (i.e. it's less than X) in time series data (sorted by time), and check if this behavior continues during specified time (Y=2 hours).
If all values in sub-array ...
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2answers
273 views
How can I fit a sine function to a SVR?
I have a time series which represent the sine curve. Now I want a regressor to learn this curve, and being able to predict for future values.
PS:
Sine curve is only for testing purposes. What I want ...
2
votes
1answer
227 views
Temporal alignment of two time series
I have two series of tuples
$$
A = \{(x_0,t_{01},t_{02}),(x_1,t_{11},t_{12}),\ldots,(x_n,t_{n1},t_{n2})\} \\
B = \{(y_0,tt_{01},tt_{02}),(y_1,tt_{11},tt_{12}),\ldots,(y_m,tt_{m1},tt_{m2})\}
$$
...
1
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2answers
315 views
Keywords for classification of 2D time series data?
Trying to find the right search terms for literature on classifying 2D time series data.
I am looking at data from positional tracking of a swarm of insects over time. I have example datasets for ...
3
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2answers
144 views
How to efficiently code Dynamic Time Warping algorithm with a locality constrain?
For given two lists $[s_1, s_2, ... s_n]$ and $[t_1, t_2, ..., t_m]$
I need to implement DTW algorithm with one extra constraint:
If $s_i$ is matched with $t_j$ then the next element $s_{i+1}$ has ...
1
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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 ...
3
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1answer
283 views
machine learning classification with financial instrument/time series data
I am new to machine learning and have started brainstorming some model ideas that involve financial instrument/time series data. I was thinking it might be useful to use a classification algorithm to ...
1
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2answers
171 views
Getting speed difference between signal comparison using Dynamic Time Warping
I understand that Dynamic Time Warping is an algorithm to find a matching between two signals with different length and speed
But is there a possible way to find the speed difference between the two ...
1
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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 ...
2
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1answer
154 views
Time Series Prediction with an LSTM
I have a time series that I want to predict with an LSTM. I am able to get very good results using 50 datapoints predicting 51, but I struggle to get any accuracy using something like 200 datapoints ...
7
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1answer
10k views
Machine Learning: Identify Patterns in Time-Series Data
I work in renewable energy. My company gathers a lot of data from equipment. This typically includes process data (such as transformer temperature, line voltages, currents, etc.) and discrete alarms (...
5
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1answer
153 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, ...
5
votes
1answer
690 views
Normalized measure from dynamic time warping
I am trying to find the similarity between two time series, but not in terms of distance, in something more sensible such as percentage of similarity. In other words I need something that shows the ...
7
votes
1answer
2k views
Levenstein distance and dynamic time warp
I am not sure how to draw parallel between the Wagner–Fischer algorithm and dtw algo.
In both case we want to find the distance of each index combination (i,j).
In Wagner–Fischer, we initiate the ...
