Questions tagged [sequential-pattern-mining]
The sequential-pattern-mining tag has no usage guidance.
47
questions
2
votes
1answer
17 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 ...
-1
votes
1answer
15 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 ...
0
votes
0answers
16 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 ...
1
vote
1answer
20 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 ...
1
vote
1answer
25 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()]
<...
1
vote
1answer
30 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. ...
2
votes
0answers
79 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:
...
1
vote
0answers
37 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 ...
1
vote
0answers
17 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 ...
1
vote
1answer
49 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):
...
0
votes
0answers
11 views
Suitable model architecture for categorical, sequential data
Suppose you have a dataset, containing the log data of a set of complex devices, e.g. turbofans.
For each device, the log consists of a time sequence of categorical events.
...
1
vote
0answers
21 views
1
vote
0answers
40 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 ...
2
votes
1answer
90 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 ...
0
votes
1answer
167 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, ...
3
votes
1answer
82 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 $(X,y): \mathbb{R}^d\rightarrow \{1,2,..., K\}$ ...
1
vote
0answers
118 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 ...
1
vote
0answers
34 views
3
votes
0answers
152 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
0answers
45 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)...
0
votes
1answer
53 views
Sequence extraction in a dataset
I am looking for a way to extract sequences/patterns from a dataset such as this one:
...
1
vote
0answers
78 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
0answers
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
0answers
256 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,
...
2
votes
0answers
37 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 ...
0
votes
1answer
236 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 ...
0
votes
1answer
390 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 ...
2
votes
0answers
164 views
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 ...
1
vote
0answers
93 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 ...
1
vote
0answers
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,...
1
vote
0answers
80 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 ...
2
votes
0answers
333 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 ...
3
votes
2answers
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
...
1
vote
0answers
75 views
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 ) ??
1
vote
1answer
439 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 ...
4
votes
0answers
196 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 ...
0
votes
1answer
51 views
2
votes
2answers
338 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 ...
3
votes
2answers
306 views
Supervised Learning on Sequential data
I am doing credit risk modelling on costumer transaction data a part of which looks like this :
...
0
votes
2answers
84 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 ...
2
votes
2answers
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
2
votes
1answer
174 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:
...
17
votes
7answers
17k 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!
0
votes
1answer
930 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 ...
0
votes
1answer
63 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 ...
4
votes
1answer
473 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 ...
0
votes
1answer
696 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 ...
