DREAM-NAP | Decay Replay Mining to Predict Next Process Events | Data Mining library

by Julian-Theis Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | DREAM-NAP Summary

DREAM-NAP is a Java library typically used in Data Processing, Data Mining applications. DREAM-NAP has no bugs, it has no vulnerabilities and it has low support. However DREAM-NAP build file is not available. You can download it from GitHub.

Decay Replay Mining to Predict Next Process Events

Support

Quality

Security

License

Reuse

Support

DREAM-NAP has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

DREAM-NAP has no issues reported. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DREAM-NAP is current.

Quality

DREAM-NAP has no bugs reported.

Security

DREAM-NAP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DREAM-NAP does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DREAM-NAP releases are not available. You will need to build from source code and install.

DREAM-NAP has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed DREAM-NAP and discovered the below as its top functions. This is intended to give you an instant insight into DREAM-NAP implemented functionality, and help decide if they suit your requirements.

Main method for testing
Calculate the fitness
Create tokens for a transition
Split the dataset into k folds
Gets the PetriNet from a file
Reads finalMarkings from doc
Determines if a transition is visible
Example of running benchmark
Get quantizes from csv file
Converts NNML file to pnml format
Set up the benchmark configurations
Create unique resource map
Marking for finalMarkings
Train a train dataset
Add a new transition
Example of the benchmark
Test program
Main method for testing
Bench for testing
The benchmark
Main benchmark
Sets up the nodes
Demonstrates a dataset with predictions
Estimate the activations
Add an arc to a page
Runs a benchmark

Get all kandi verified functions for this library.

DREAM-NAP Key Features

No Key Features are available at this moment for DREAM-NAP.

DREAM-NAP Examples and Code Snippets

No Code Snippets are available at this moment for DREAM-NAP.

Community Discussions

Trending Discussions on Data Mining

different tree for the same data set

Remove duplicates from a tuple

Can't get value of tag using BeautifulSoup

The website has 9 pages and my code just add the last page elements to the list

Compare two dataframes column values. Find which values are in one df and not the other

Pandas : Linear Regression apply standard scaler to some columns

How can I use SVM classifier to detect outliers in percentage changes?

How can I change the order of the attributes in Weka?

how to split a piece text by a word in R?( break the text after a specific word)

How to locate an element within bad html python selenium

QUESTION

different tree for the same data set

Asked 2022-Feb-21 at 19:57

I am working on Pima Indians Diabetes Database in Weka. I noticed that for decision tree J48 the tree is smaller as compared to the Random Tree. I am unable to understand why it is like this? Thank you.

...

ANSWER

Answered 2022-Feb-21 at 19:57

Though they both are decision trees, they employ different algorithms for constructing the tree, which will (most likely) give you a different outcome:

J48 prunes the tree by default after it built its tree (Wikipedia).
RandomTree (when using default parameters) inspects a maximum of log2(num_attributes) attributes for generating splits.

Source https://stackoverflow.com/questions/71201615

QUESTION

Remove duplicates from a tuple

Asked 2022-Feb-09 at 23:43

I tried to extract keywords from a text. By using "en_core_sci_lg" model, I got a tuple type of phrases/words with some duplicates which I tried to remove from it. I tried deduplicate function for list and tuple, I only got fail. Can anyone help? I really appreciate it.

...

ANSWER

Answered 2022-Feb-09 at 22:08

doc.ents is not a list of strings. It is a list of Span objects. When you print one, it prints its contents, but they are indeed individual objects, which is why set doesn't see they are duplicates. The clue to that is there are no quote marks in your print statement. If those were strings, you'd see quotation marks.

You should try using doc.words instead of doc.ents. If that doesn't work for you, for some reason, you can do:

Source https://stackoverflow.com/questions/71057313

QUESTION

Can't get value of tag using BeautifulSoup

Asked 2022-Jan-22 at 22:36

my code:

...

ANSWER

Answered 2022-Jan-11 at 13:11

Note: In new code use find_all() instead of old findAll() syntax - your html looks not valid

Source https://stackoverflow.com/questions/70666777

QUESTION

The website has 9 pages and my code just add the last page elements to the list

Asked 2022-Jan-12 at 01:42

The website has 9 pages and my code just add the last page elements to the list. I want to add all elements for all pages next together in list.

...

ANSWER

Answered 2022-Jan-10 at 08:27

What happens?

Code works well, but iterates to fast and elements your looking for are not present in the moment you try to find them.

How to fix?

Use selenium waits to check if elements are present in the DOM:

Source https://stackoverflow.com/questions/70647571

QUESTION

Compare two dataframes column values. Find which values are in one df and not the other

Asked 2021-Nov-07 at 19:24

I have the following dataset

...

ANSWER

Answered 2021-Nov-07 at 19:11

You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:

Source https://stackoverflow.com/questions/69875643

QUESTION

Pandas : Linear Regression apply standard scaler to some columns

Asked 2021-Nov-06 at 11:48

So I have the following dataset :

...

ANSWER

Answered 2021-Nov-06 at 11:46

You can split your data frame like this:

Source https://stackoverflow.com/questions/69863485

QUESTION

How can I use SVM classifier to detect outliers in percentage changes?

Asked 2021-Nov-04 at 09:28

I have a pandas dataframe that is in the following format:

This contains the % change in stock prices each day for 3 companies MSFT, F and BAC.

I would like to use a OneClassSVM calculator to detect whether the data is an outlier or not. I have tried the following code, which I believe detects the rows which contain outliers.

...

ANSWER

Answered 2021-Nov-04 at 09:28

It's not very clear what is delta and df in your code. I am assuming they are the same data frame.

You can use the result from svm.predict , here we leave it as blank '' if not outlier:

Source https://stackoverflow.com/questions/69836604

QUESTION

How can I change the order of the attributes in Weka?

Asked 2021-Oct-08 at 00:07

I was doing a machine learning task in Weka and the dataset has 486 attributes. So, I wanted to do attribute selection using chi-square and it provides me ranked attributes like below:

Now, I also have a testing dataset and I have to make it compatible. But how can I reorder the test attributes in the same manner that can be compatible with the train set?

...

ANSWER

Answered 2021-Oct-08 at 00:07

Changing the order of attributes (e.g., when using the Ranker in conjunction with an attribute evaluator) will probably not have much influence on the performance of your classifier model (since all the attributes will stay in the dataset). Removing attributes, on the other hand, will more likely have an impact (for that, use subset evaluators).

If you want the ordering to get applied to the test set as well, then simply define your attribute selection search and evaluation schemes in the AttributeSelectedClassifier meta-classifier, instead of using the Attribute selection panel (that panel is more for exploration).

Source https://stackoverflow.com/questions/69488957

QUESTION

how to split a piece text by a word in R?( break the text after a specific word)

Asked 2021-Oct-06 at 16:10

I need to split pdf files into their chapters. In each pdf, at the beginning of every chapter, I added the word "Hirfar" for which to look and split the text. Consider the following example:

...

ANSWER

Answered 2021-Oct-06 at 16:10

We may use regex lookaround

Source https://stackoverflow.com/questions/69469109

QUESTION

How to locate an element within bad html python selenium

Asked 2021-Aug-26 at 07:41

I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"

...

ANSWER

Answered 2021-Aug-26 at 07:41

to get the email id, use this :-

Source https://stackoverflow.com/questions/68928190

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DREAM-NAP

You can download it from GitHub.
You can use DREAM-NAP like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DREAM-NAP component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: