Data Mining is a field that deals with analyzing large data sets for discovering new patterns and methods for meticulous data processing, database management, as well as interference considerations. WEKA is one of the prime software packages that offer users an accumulation of learning scheme used for data mining. WEKA algorithm can be applied directly to a data set of the Java code. This software package has five distinctive features are and these are open source, graphical interface, command line interface, JAFA API, and documentation. WEKA workbench works in three main ways and these are explorer, experimenter, and Knowledge Flow.
The program includes tools for association rules, data clustering, as well as attributes evaluator. Moreover, it can be used for data plotting, which allows its users to look and analyze point graphs for each attribute combination. Weka is a user-friendly application, and it is intended for those who are acquainted with data mining techniques and database analysis. By using this software, users can view and analyze ARFF data files, as well as they can perform data management jobs like data clustering and regression. The program is also appropriate for generating new machine learning schemes. The analysis result can be stored either in ARFF or CSV formats or users can protect it as a JDBC database.
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