Questions tagged [sequential-pattern-mining]
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56 questions
0 votes
0 answers
58 views
What is the best practice to impute missing data with patterns over the time? (potential of K-means clustering for imputation of missing values!?)
Years ago, I read in the paper that they proposed a K-means-based approach to impute missing values over energy time data. At the point in time, since I did not have access to that data, I tried to ...
- 610
0 votes
1 answer
568 views
What is the best practice to detect constant and nearly constant data over time?
I'm experimenting with the characterization of data over time. I generated some synthesized data with certain periodic patterns over time every 5mins (granularity of 5mins= data generated with the ...
- 610
0 votes
1 answer
54 views
Identification of inexactly-recurring material in time series stream
I am working on a personal project involving the analysis of a stream of audio data and the identification of (non-verbatim) repeated subsequences. My research on time series has so far lead me to ...
- 101
0 votes
1 answer
81 views
How can I solve this kind of problem about predicting the sequence of once in life events?
So let's imagine I have a dataset of children. For each of them a have a bunch of characteristics (generation, gender, race, class, urban/rural, religion, bmi, number of siblings etc..) and plus the ...
- 1
0 votes
0 answers
856 views
How to Use Generative AI for Time Series Forecasting?
What I have A time series dataset of time stamps (hourly resolution), some covariates (like store foot-traffic) and items sold. What to forecast Number of items sold for next 24 hours, i.e. 24 ...
- 485
0 votes
1 answer
143 views
How RNN or LSTM delays the input
RNN or LSTM are known to hold the previous timestamp data as "memory" so that short or long range dependencies can be remembered. But in the following simple keras model, where is that delay ...
- 924
2 votes
1 answer
426 views
What is the fastest way to detect periodicity in a binary time series?
Example, T = array([0,1,1,1,0,0,1,0,1,1,1,0,0,1,1,1,1,1,0,0,1,0,1,1,1,0,0,1,0,1,1,0,0,0,1,0,1,1,1,0,0,1]) ( T is almost a repeat of the array([0,1,1,1,0,0,1]) six ...
- 21
0 votes
1 answer
351 views
Improvement of the Keras model for a regression task
I am trying to build an expectation model for my (19502,3) data using Keras Sequential model. This dataset has been generated using a parametric sweep in a simulation software. With this model, I want ...
- 1
3 votes
2 answers
3k views
How to find common patterns in thousands of strings?
I don't want to find "abc" in strings ["kkkabczzz", "shdirabckai"] Not like that. But bigger patterns like this: If I have to _________, then I will ___. ["If I have ...
- 131
3 votes
0 answers
1k views
What algorithms exist for identify repeating patterns in a single image?
I am looking for algorithms or models for detecting and identifying repeated patterns contained within a single image. For example, an arbitrary smaller image might be pasted at random locations in ...
- 133
1 vote
3 answers
2k views
How to use machine learning to find pattern of similar regions in signals
I have a long time series signal. This signal is usually very stable, but it will change when the sensor is stimulated, and this change is usually very short. I know this can be trained using the ...
- 111
3 votes
1 answer
1k views
Is sequential pattern mining possible with machine learning?
I am curious if sequential pattern mining algoritmhs fill a unique gap or the same thing can be achieved with alternative methods for example wih machine learning or something else. Do you know any ...
- 133
0 votes
1 answer
854 views
Detect time pattern in sequence of events
I have a time series with a timestamp and an associated event: Time Event 1 A 2 B 3 C T A I was wondering if there is a technique/method to figure out which events most often precede others in a given ...
- 11
1 vote
1 answer
50 views
Help with DDP Mining algorithm for Effective Classification of data sets from 2 groups
I'm trying to implement the DDPmine algorithm from this article as part of some project, and I do not understand where in the algorithm we use the Class Label of each transaction? We have transactions ...
- 111
1 vote
1 answer
59 views
Using Information from the rest of a Sequence to Predict the Label for any one Item
I have a dictionary of variable-length sequences: [(file_name[-10:], len(tag_is_header_list)) for file_name, tag_is_header_list in HEADER_PATTERN_DICT.items()] <...
- 131