awojna/Rseslib
Data structures, algorithms and tools for rough sets, machine learning and data mining, including algorithms for discernibility matrix, reducts, decision rules, classification (KNN, NeuralNet, AQ15, RoughSet, RIONIDA, SVM, C4.5, and many others), discretization (1R, EntropyMinimization, ChiMerge, MD), and tool for explainable and interactive ML.
This project provides tools for understanding and classifying data, especially when dealing with complex or incomplete information. It takes raw datasets, processes them using various algorithms, and produces insights such as decision rules or predictions. Data scientists, researchers, or anyone working with data mining and machine learning can use this to build and interpret predictive models.
No commits in the last 6 months.
Use this if you need to analyze datasets, build classification models, and particularly if you are interested in using rough set theory for data exploration and rule extraction.
Not ideal if you are looking for a simple, out-of-the-box solution for basic data visualization or statistical analysis without delving into machine learning model development.
Stars
16
Forks
5
Language
Java
License
GPL-3.0
Category
Last pushed
Apr 19, 2025
Commits (30d)
0
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