Author: S J

When a database contains a large number of attributes, there will be several attributes which do not become significant in the analysis that you are currently seeking. Thus, removing the…

It was observed that people who buy beer also buy diapers at the same time. That is there is an association in buying beer and diapers together. Though this seems…

A clustering algorithm finds groups of similar instances in the entire dataset. WEKA supports several clustering algorithms such as EM, FilteredClusterer, HierarchicalClusterer, SimpleKMeans and so on. You should understand these…

Many machine learning applications are classification related. For example, you may like to classify a tumor as malignant or benign. You may like to decide whether to play an outside…

The data that is collected from the field contains many unwanted things that leads to wrong analysis. For example, the data may contain null fields, it may contain columns that…

WEKA supports a large number of file formats for the data. Here is the complete list − arffarff.gzbsicsvdatdatajsonjson.gzlibsvmmnamesxrffxrff.gz The types of files that it supports are listed in the drop-down…

In this chapter, we start with the first tab that you use to preprocess the data. This is common to all algorithms that you would apply to your data for…

In this chapter, let us look into various functionalities that the explorer provides for working with big data. When you click on the Explorer button in the Applications selector, it opens the following screen…

To install WEKA on your machine, visit WEKA’s official website and download the installation file. WEKA supports installation on Windows, Mac OS X and Linux. You just need to follow the instructions…