Simple Data Preprocessing Using Weka
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Project Budget$10 - $30 USD
In this project, you will start to learn how to use the software Weka for data processing. Weka is an
open software that can be downloaded from the website [url removed, login to view] Weka
has been installed in the computers in the CS Lab. Weka is implemented in Java. Weka includes a
GUI (graphical interface) as a platform for data mining. But more essentially, Weka is a Java library
consisting of a set of Classes for various data mining tasks, such as data preprocessing, classification,
association, and clustering. You can easily integrate Weka into a specific Java application. But you will
need to set the classpath correctly in order to use the Weka library during the compilation and execution.
The major file in Weka is weka.jar. Assume that you are using a Windows system and [url removed, login to view] is stored
in the directory
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