The Weka GUI screen and the available application interfaces are seen in Figure 2. When we open Weka, it will start the Weka GUI Chooser screen from where we can open the Weka application interface. There are totally five application interfaces available for Weka.
Once the download is completed, run the exe file and choose the default set-up. Setenv CLASSPATH $WEKAHOME/weka.jar:$CLASSPATH Įxecute the following commands at the command prompt to set the Weka environment variable for Java, as follows: setenv WEKAHOME /usr/local/weka/weka-3-0-2 You can download Weka from the official website. Figure 1: Weka’ s features Figure 2: Weka’s application interfaces Installation of Weka The features of Weka are shown in Figure 1. These algorithms can be applied directly to the data or called from the Java code.
#Weka jar with spegasos software#
Weka is data mining software that uses a collection of machine learning algorithms. Data mining uses machine language to find valuable information from large volumes of data. The difference is that data mining systems extract the data for human comprehension.
The machine learning method is similar to data mining. Machine learning systems crawl through the data to find the patterns and, when these are found, adjust the program’s actions accordingly.ĭata mining analyses the data from different perspectives and summarises it into parcels of useful information. Machine learning is nothing but a type of artificial intelligence which enables computers to learn the data without help of any explicit programs. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualisation. Named after a flightless New Zealand bird, Weka is a set of machine learning algorithms that can be applied to a data set directly, or called from your own Java code.