Weka: Difference between revisions
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|field_name=Weka | |field_name=Weka | ||
|field_developers=Machine Learning Group at the University of Waikato | |field_developers=Machine Learning Group at the University of Waikato | ||
|field_website=http://www.cs.waikato.ac.nz/ml/index.html | |||
|field_data_tool_type=Application software | |||
|field_plugin_of= | |||
|field_license_type=Free&Open source | |field_license_type=Free&Open source | ||
|field_free_software_licence=GPL / GNU General Public License | |field_free_software_licence=GPL / GNU General Public License | ||
|field_last_release=2013/07/30 | |field_last_release=2013/07/30 | ||
|field_last_version=3.6 | |field_last_version=3.6 | ||
|field_description=Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. | |field_description=Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. | ||
|field_analysis_orientation=General analysis | |field_analysis_orientation=General analysis | ||
|field_data_analysis_objective= | |field_data_analysis_objective= | ||
|field_mining_tool_type=Structured data mining | |||
|field_data_manipulation_type=Data transformation, Data analysis, Data visualisation | |||
|field_import_format= | |field_import_format= | ||
|field_export_format= | |field_export_format= | ||
|field_extraction_type= | |field_extraction_type= | ||
|field_tool_usability= | |field_tool_usability= | ||
|field_statistics_level= | |field_statistics_level= |