# Questions tagged [sequential-pattern-mining]

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### 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 ...
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37 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
15 views

### Pattern recognition in time data serie

I have a log file with phone call data, described by 2 attributes: call_time, call_from. I want to discover some patterns in the data, using some statistical method. I don't have any predefined ...
46 views

### How to train Keras Sequential model in batches?

newbie here. I have a large dataset in many local CSV files. It's impossible to fit it in memory within budget. How can I train a Sequential model in batches? I've found ...
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39 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 ...
699 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 ...
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### Sequence Regression and Sequence Learning

My training data is structured as sequential data in the following format: where $n$ represents the $n$th data point in my training data of length $N$, and $m \leq M := M(n)$ represents the $m$th ...
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96 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 ...
198 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 ...
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### 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 ...
2k 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 ...
875 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 in a single image. For example, an arbitrary smaller image might be pasted at random locations in the image. In ...
1 vote
863 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 ...
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986 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
607 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 ...
33 views

### Direct Discriminative Pattern Mining for Effective Classification - implementation

I'm looking for any actual working code implementation of the DDPMiner algorithm mentioned in the Direct Discriminative Pattern Mining for Effective Classification article form 2008 I'm having real ...
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1 vote
33 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 ...
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1 vote
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1 vote
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### Mining timelines in a long text

I am trying to detect timeline of brands histories. For my specific case, I believe it is easy because data is already clustered. For each Wikipedia article I can spot sentences surrounding dates. ...
• 453
117 views

### Which one to choose to identify patterns of user activity: Sequence analysis or process mining?

I have the following user activity data that where for each user the activity type they were engaged are recorded along with the phase: ...
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1 vote
67 views

### How to infer which sequence of events are more likely to result in an event of interest?

Background I have a sequence/series of events. Some sequences will end up with an event of interest $y$, while others won't. $$S_1 = [a, b, c, d, ..., y]$$ $$S_2 = [a, b, b, e, ..., a]$$ $$...$$ S_n ...
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1 vote
19 views

### What is External representation of time in Sequential learning?

I am reading the literature on sequential learning and it is often mention that in order to handle sequential/temporal data, there two categories of work in sequential learning External ...
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1 vote
347 views

### Similar algorithm to apriori to find unpopular sequential patterns

I am working with a dataset that looks like similar to this one but it is way larger (approx. 30.000 arrays): ...
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1 vote
31 views

I have some dictionary data like this: ...
1 vote
132 views

### Multiple time series sequence prediction for multiple multivariate time series

My question is somehow similar to this question, but not satisfied with the answer. I have 100 samples, each sample consists of ...
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373 views

### How to find pattern in sequential data?

I have multiple sequential data that lead up to an event. All I want to do if find the equivalent sequential data or a pattern that leads to the event. The data is also multivariate so I want to ...
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426 views

### Feature Selection algorithm/library for CRF

I am using the Conditional Random Fields CRF suite scikit-learn wrapper algorithm. I have read on the literature various approaches for feature selection, but I cannot find any on that package or, ...
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### How to update the posterior belief when we are observing a stream of correlated data from a fixed but unknown data source

I want to build a [probabilistic] model that aims to infer the true value of an unknown categorical variable, $y \in \{1,2,..., K\}$. We have a dataset $(X,y): \mathbb{R}^d\rightarrow \{1,2,..., K\}$ ...
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1 vote
176 views

### Most efficient algorithm for sequential pattern mining on a dataset with large amount of items in each transaction?

To provide some context, I am trying to do frequent pattern mining on a dataset of system error logs from servers. I organized it into transactions based on the thread ID, which results in some very ...
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1 vote
60 views

### Pattern identification in data

I have some data in following format: ...
250 views

### Time series pattern recognition

I have measured stress at 1 million points inside a material at 100 time steps. I have made a probability distribution plot for three time steps and I see that the evolution of stress looks like this: ...
1 vote
53 views

### rule generation in a big dataset

Given a dataset with 30 fields and 25000 instances, 1) what are your suggestions for novel methods of rule extraction? 2) Can I use association rule mining in addition to sequential rule mining? 3)...
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281 views

### Sequence extraction in a dataset

I am looking for a way to extract sequences/patterns from a dataset such as this one: ...
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1 vote
102 views

### Mini-batches with sequential data

I am a little bit confused. When using mini-batches, it is a good idea to shuffle. This will not work if the training examples are dependent on each other, e.g. 5 minute voltage measurement data, ...
1 vote
28 views

### How to apply sequentinal MSE model to data that is not binary?

I have been using this model with binary data to predict likely hood of play from this guide. ...
1 vote
291 views

### How to model machine learning problem for cache replacement policy?

I am trying to implement machine learning on Cache Replacement Policy. I want to train a ML model on labelled data acquire from Belady's Optimal Algorithm for Cache replacement policy. For example, ...
48 views

### ACF (Autocorrelation) estimation

I have two signals "Signal A" and Signal B" and I plot the autocorrelation for each signal with itself as shown below. How I can determine which signal has a stronger correlation with itself. To ...
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1 vote
287 views

### Process mining with ML

I have a little more general question. My dataset consists of N sequences of events. Example of one sequence could be [A,B,C,D,X,Y] and another [A,B,Z], where letters represent different events. The ...
965 views

### Machine Learning: Classify Array of Numbers based on Patterns

I have experimented with various regression/classifier libraries, they accept training input like "5 is bad" and "10 is good" so they can tell you 7 is bad and 8 is good. Now imagine a more ...
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419 views

### Clustering events in a sequence

I have a sequence of recurring events that I would to group together into representing different operation activities of the underlying process. These events may have an order in their occurrence; or ...
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1 vote
183 views

### Clustering/ Classifying users based on sequence of action and time

I have some user data where each user has a certain pattern of being at different places for some time. I would like to create a model which will cluster/classify these users based on these patterns ...
• 111
1 vote
16 views

### Model for 'Pattern to Pattern'?

How to create a model that will generate a similar pattern/image? And how sould I address it, if I only have 400 exmples after the augmentation. This is the kind of data I have (16X16) 0,0,0,0,0,0,0,...
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1 vote
114 views

### Detection of Anomalous Sequential User Behavior

I have a dataset containing a set of normal user sessions. Each session contains a suite of ordered user requests on N system resources {R1, ..., RN}. I want to design a continuous authentication ...
500 views

### k- means clustering on Markov chain trasition probability

I have data set of 50 students. I want to cluster them on their sequential data ( While doing a job they followed multiple sequences A, B, c total 7 stages). I am planning to apply k-means clustering ...
112 views

### Collection Of Variable Length Sequences and Descriptions: A Search Problem

I have a tough problem and need some advice: Suppose I have a collection of variable length sequences, many of which are unique -- imagine the moves to a chess game, eg d4 Nf6 c4 g6 Nc3 Bg7 ...
1 vote
173 views

### What is the best non-deep learning hand written digits recognition system?

What would be the best Sequence Mining Algorithm to use for Hand Written digit Recognition system (other then Deep learning)?
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1 vote
575 views

### Using python to identify common paths that users follow among different activities

I have a click-stream data of users regarding their behaviour in a platform. There are activities provided in a temporal order and users can go back and forth between these activities. Below is an ...
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225 views

### How's frequent pattern mining in data mining? [closed]

I am reading a paper Frequent pattern mining:current status and future directions. From this paper I learned that a lot of people did some interesting jobs in this field. But this review is published ...
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59 views

### Simplest way to train a number sequence generator

Here is all 34 rows of my training data: ...
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