QuantMiner | Data Mining tool for mining Quantitative Association Rules | Data Mining library
kandi X-RAY | QuantMiner Summary
kandi X-RAY | QuantMiner Summary
QuantMiner is a Data Mining tool for mining Quantitative Association Rules that is taking into consideration numerical attributes in the mining process without a binning/discretization a priori of the data. It exploits a recent and innovative research in using genetic algorithms for mining quantitative rules published in IJCAI 2007. We hope you will find it useful and welcome your feedback.
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Top functions reviewed by kandi - BETA
- Initialise the contour la table
- Methode permettant de la classe
- Creates an extension for the given node
- Methode permettant de charger toutes les une le la table
- Load les Regels
- Runs the pretraitement
- Methode permettant de la listeet de la liste eset
- Methode de la la list itemSets
- Enregisters a photo
- Methode permettage de la regression
- Methode d une la deDonne une base dichier d une cichier
- Methode permettant de la etre les une les une ensemble
- Initialize the form fields
- Liefert die aussgegegeben
- Parses a fichier
- Calculate Distribution Partition Items
- Initialize the combo box
- Methode d une les deDonne d une cichier fichier une cichier
- Optimize an association rule
- Apply GMeans algorithm to the data set
- Enregisters a parametres resolver
- Initialize the form components
- Reset the contour dao
- Initialize the form
- Calculate les mesures
- Initialize the components
QuantMiner Key Features
QuantMiner Examples and Code Snippets
Community Discussions
Trending Discussions on Data Mining
QUESTION
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 19:57Though 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.
QUESTION
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 22:08doc.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:
QUESTION
my code:
...ANSWER
Answered 2022-Jan-11 at 13:11Note: In new code use find_all()
instead of old findAll()
syntax - your html looks not valid
QUESTION
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 08:27Code 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:
QUESTION
I have the following dataset
...ANSWER
Answered 2021-Nov-07 at 19:11You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:
QUESTION
So I have the following dataset :
...ANSWER
Answered 2021-Nov-06 at 11:46You can split your data frame like this:
QUESTION
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 09:28It'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:
QUESTION
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 00:07Changing 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).
QUESTION
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 16:10We may use regex lookaround
QUESTION
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 07:41to get the email id, use this :-
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install QuantMiner
You can use QuantMiner 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 QuantMiner 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 .
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