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Pobierz Weka 3.8.2 Data Processing Algorithms for PC Windows

Weka 3.8.2

Od Weka Development Team  (Open Source)
Ocena Użytkowników
Reklama

Weka is a collection of machine learning algorithms for solving real-world data mining issues. The algorithms can either be applied directly to a data set or called from your own Java code.

The application contains the tools you'll need for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also appropriate for developing new machine learning schemes.

Key features include:

  • Machine learning.
  • Data mining.
  • Pre-processing.
  • Classification.
  • Regression.
  • Clustering.
  • Association rules.
  • Attribute selection.
  • Experiments.
  • Workflow.
  • Visualization.

Weka's collection of algorithms range from those that handle data pre-processing to modeling. It's core data mining algorithms include regression, clustering and classification.

Although Weka has a full suite of algorithms for data analysis, it has been built to handle data as single flat files. Subsequently, it does not handle multi-relational mining and sequence modeling.

Overall, Weka is a good data mining tool with a comprehensive suite of algorithms. The interface is OK, although with four to choose from, each with their own strengths, it can be awkward to choose which to work with, unless you have a thorough knowledge of the application to begin with.

Looking for the Mac version of Weka? Download Here

Tytuł: Weka 3.8.2 Data Processing Algorithms for PC Windows
Nazwa pliku: weka-3-8-2.exe
Rozmiar: 48.47MB (50,822,661 bajtów)
Wymagania: Windows (Wszystkie wersje)
Języki: Wielojęzykowy
Licencja: Open Source
Data dodania: 12 stycznia 2018
Autor: Weka Development Team
www.cs.waikato.ac.nz/ml/weka
Suma kontrolna MD5: 2818AE98CBB2610F5E20A59A9BCFAF60

We don't have any change log information yet for version 3.8.2 of Weka. Sometimes publishers take a little while to make this information available, so please check back in a few days to see if it has been updated.

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