Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:availableIn |
GitHub
|
| gptkbp:developedBy |
gptkb:University_of_Waikato
|
| gptkbp:features |
data preprocessing
visualization tools classification regression clustering association rule mining |
| gptkbp:firstPublished |
1997
3.8.6 |
| gptkbp:has |
user community
extensive documentation data mining tools graphical tools |
| https://www.w3.org/2000/01/rdf-schema#label |
Weka
|
| gptkbp:includes |
machine learning algorithms
|
| gptkbp:integration |
Python
R Java_applications |
| gptkbp:is |
flexible
open-source software widely used user-friendly powerful educational tool extensible research tool cross-disciplinary |
| gptkbp:isUsedFor |
data analysis
data visualization model evaluation predictive modeling feature selection |
| gptkbp:language |
gptkb:Java
|
| gptkbp:license |
gptkb:GNU_General_Public_License
|
| gptkbp:operatingHours |
Cross-platform
|
| gptkbp:provides |
command-line interface
graphical user interface |
| gptkbp:publishedIn |
gptkb:Java
|
| gptkbp:supports |
neural networks
ensemble methods decision trees support vector machines various data formats k-nearest neighbors |
| gptkbp:type |
machine learning software
|
| gptkbp:usedIn |
academic research
industry applications |
| gptkbp:uses |
data mining
|