Questions tagged [time-series-analysis]
The time-series-analysis tag has no usage guidance.
25
questions
1
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1answer
13 views
an algorithm for detecting if noisy univariate data is constant or is sum of step functions
In an explicit algorithm I'm writing, there is a certain stage where I need to determine whether or not a certain noisy univariate data is constant or is sum of step functions.
For example, defining ...
0
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0answers
14 views
Water depletion predictor module
I’d like to develop a water depletion of a water tank predictor module.
In each collection, WaterTank, I have the following document:
- lastReplacedDate (date the water tank was replaced)
- ...
1
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0answers
12 views
Detecting Events in time series [closed]
I am working with a time series which is, in fact a pressure signal.
There are special "events" in the signal that I am looking for.for example where the signal suddenly goes up or down or where there ...
1
vote
1answer
93 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). ...
1
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0answers
35 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
1answer
105 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
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 ...
0
votes
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 ...
0
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0answers
84 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
315 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
169 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
55 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 ...
1
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2answers
335 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
325 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
vote
2answers
420 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 ...
2
votes
2answers
173 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
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 ...
3
votes
1answer
289 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
vote
2answers
203 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
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 ...
2
votes
1answer
165 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 ...
8
votes
1answer
11k 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
votes
1answer
181 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
1k 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 ...
