Questions tagged [sequential-pattern-mining]

Filter by
Sorted by
Tagged with
0 votes
1 answer
9 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 ...
user avatar
1 vote
1 answer
37 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 ...
user avatar
2 votes
0 answers
62 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 ...
user avatar
0 votes
0 answers
97 views

Sequential pattern mining algorithm that uses timestamps?

Which algorithms for sequential pattern mining use the sequences timestamps, in a similar way to SPADE algorithm? I've been looking for a python implementation for the SPADE algorithm that isn't a ...
user avatar
  • 1
1 vote
3 answers
152 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 ...
user avatar
2 votes
1 answer
410 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 ...
user avatar
  • 123
-1 votes
1 answer
201 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 ...
user avatar
0 votes
0 answers
20 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 ...
user avatar
  • 111
1 vote
1 answer
24 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 ...
user avatar
  • 111
1 vote
1 answer
32 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()] <...
user avatar
1 vote
1 answer
39 views

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. ...
user avatar
  • 443
2 votes
0 answers
103 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: ...
user avatar
  • 111
1 vote
0 answers
50 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 ...
user avatar
  • 131
1 vote
0 answers
18 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 ...
user avatar
  • 286
1 vote
1 answer
192 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): ...
user avatar
1 vote
0 answers
26 views

Advanced frequent pattern identification

I have some dictionary data like this: ...
user avatar
1 vote
0 answers
76 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 ...
user avatar
  • 11
2 votes
1 answer
204 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 ...
user avatar
  • 21
0 votes
1 answer
298 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, ...
user avatar
  • 610
3 votes
1 answer
92 views

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 $(X,y): \mathbb{R}^d\rightarrow \{1,2,..., K\}$ ...
user avatar
  • 1,175
1 vote
0 answers
147 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 ...
user avatar
  • 11
1 vote
0 answers
40 views

Pattern identification in data

I have some data in following format: ...
user avatar
3 votes
0 answers
187 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: ...
user avatar
1 vote
0 answers
50 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)...
user avatar
  • 11
0 votes
1 answer
117 views

Sequence extraction in a dataset

I am looking for a way to extract sequences/patterns from a dataset such as this one: ...
user avatar
  • 3
1 vote
0 answers
95 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, ...
user avatar
1 vote
0 answers
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. ...
user avatar
1 vote
0 answers
274 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, ...
user avatar
2 votes
0 answers
42 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 ...
user avatar
  • 165
0 votes
1 answer
259 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 ...
user avatar
0 votes
1 answer
661 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 ...
user avatar
2 votes
1 answer
251 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 ...
user avatar
  • 33
1 vote
1 answer
135 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 ...
user avatar
1 vote
0 answers
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,...
user avatar
1 vote
1 answer
96 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 ...
user avatar
2 votes
0 answers
422 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 ...
user avatar
3 votes
2 answers
107 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 ...
user avatar
1 vote
1 answer
122 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)?
user avatar
  • 367
1 vote
1 answer
481 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 ...
user avatar
  • 111
4 votes
0 answers
198 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 ...
user avatar
  • 153
0 votes
1 answer
54 views

Simplest way to train a number sequence generator

Here is all 34 rows of my training data: ...
user avatar
2 votes
2 answers
376 views

Recognize and predict a periodic pattern

I need to design a controller that tries to collect as much falling objects (raindrops) from an unknown source. Beneficial to solving the problem could be the recognition of the seemingly random ...
user avatar
  • 121
3 votes
2 answers
310 views

Supervised Learning on Sequential data

I am doing credit risk modelling on costumer transaction data a part of which looks like this : ...
user avatar
0 votes
2 answers
90 views

How to "count" certain events in a time series

What techniques are suitable and what do I need to learn in order to detect and count the number of "events" (pic) that consist of: a) shape 1 3 and 4 and not of (2 and 5) or b) of all shapes above ...
user avatar
  • 33
2 votes
2 answers
4k views

best python library for finding sequential rules mining?

I want to do sequence learning for that I want to find frequent sequential rules ,this rule consider the order of occurrence
user avatar
2 votes
1 answer
182 views

Network Visualization - R code - Which Package is needed?

I'm trying to create a network visualization to study the flights to and from a certain airport. My data consists of 123000 rows in this format: ...
user avatar
21 votes
7 answers
21k views

Good "frequent sequence mining" packages in Python?

Has anyone used (and liked) any good "frequent sequence mining" packages in Python other than the FPM in MLLib? I am looking for a stable package, preferable stilled maintained by people. Thank you!
user avatar
  • 2,505
0 votes
1 answer
1k views

Learning character sequences and predicting sequences

I'm novice to deep learning and sorry if these questions may look very basic. ******************* First Question ******************* I need to predict the next k-characters given some initial text ...
user avatar
0 votes
1 answer
70 views

Advance Methods of Understanding Significance of Customer Behaviors

I currently own a couple of websites and lately I've been implementing some feature changes - I've noticed some changes in website traffic and I was wondering what some of the more sophisticated ways ...
user avatar
  • 143
4 votes
1 answer
514 views

If a time series has random time events, how to detect patterns?

My app receives messages with a random number of bits at a random time. But two weeks ago I started to notice some almost regular patterns on the metrics of my app. I suspect they are some bots ...
user avatar