Questions tagged [sequential-pattern-mining]

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Pattern recognition in R

I have a dataset with 12 months results data and the target value yes or no I am currently looking for a pattern recognition to understand what are determining my target result example of dataset ...
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r pattern in my dataset

I have a dataset with 12 months results data and the target value yes or no I am currently looking for a pattern recognition to understand what are determining my target result example of dataset 1 2 ...
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1answer
13 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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68 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 $(X,y): \mathbb{R}^d\rightarrow \{1,2,..., K\}$ ...
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models and algorithms to measure the difference and trend of a matrix sequence

I have a matrix sequence, i.e, a sequence consists of about 5000 matrix, each matrix are of the same dimension, e.g., 25*20. Are there any models/metrics to characterize the trend of these matrix. For ...
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Use sequential pattern mining rules to predict next window of a dataset

Suppose that I am performing Sequential Pattern Mining (maxgap = 1, i.e. rules for consecutive windows) and I ran the following code from arulesSequences in R Studio to determine significant rules ...
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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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23 views

Need Help in modeling sequence prediction problem

I am working on a problem where I have a dataset with 50 predictors (all numeric) and one response variable which is a string of words. ...
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14 views

Pattern detection in logs of operations done

I have a text file with logs of a list of operations done on a product. The list of operations can be repeated any number of times. My goal is to find the pattern in the logs. Each operation has a set ...
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25 views

Pattern identification in data

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

Methodologies and Trends for Sequence Anomaly Detection

I recently started to approach the issue of detecting deviating behavior from rule-based sequences. Basically the task is to spot any difference from "normal running" of processes that are defined as ...
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82 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: ...
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How to find cause of an event given sequences arranged according to time?

The input is a set of sequences. Each sequence contains many events, and the events are arranged according to when they happened. What I want to find is the potential causes (e.g., event A) for a ...
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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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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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A noise robust Local binary patterns variant

I’m thinking of using Local Binary Patterns (LBP) to extract features from MRI images of brain tumours to build a module for classification, due to its computational simplicity and good performance, ...
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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, ...
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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. ...
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210 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, ...
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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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1answer
196 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 ...
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what type of data mining techniques are employed to identify interesting patterns in data?

I would like to know what data mining technique can be employed to identify the pattern in data. I have a dataset with 35 factors that can be a good indicator of drought onset. I want to identify ...
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143 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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Clustering events in a sequence.

I've a sequence of recurring events I want to group together into representing different operation activities of the underlying process. 1) These events might potentially have an order in their ...
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82 views

Clustering/ Classifying users based on sequence of action and time

I have some user data where each user has certain pattern of being at different places for some time. I want to create a model which will cluster/classify these users based on these patterns and time ...
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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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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 ...
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203 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 ...
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102 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 ...
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What is the best Sequence Mining Algorithm to use for 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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1answer
378 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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177 views

How's frequent pattern mining in data mining?

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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1answer
46 views

Simplest way to train a number sequence generator

Here is all 34 rows of my training data: ...
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2answers
279 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 ...
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2answers
280 views

Supervised Learning on Sequential data

I am doing credit risk modelling on costumer transaction data a part of which looks like this : ...
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2answers
76 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 ...
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3k 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
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1answer
164 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: ...
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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!
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661 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 ...
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1answer
57 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 ...
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1answer
425 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 ...
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1answer
623 views

Sequence pattern mining on continuous dataset

I have a dataset on broadband usage and bills for a set of customers for an year. For every metric, like Upload usage, I have 12 values corresponding to each month. Below are the columns and the ...