Course: Data Mining with Weka

What’s it like to be a classifier? Load up the segment-challenge.arff dataset and examine the class values. Then choose the UserClassifier, a tree classifier. (If you can’t see it under …

Before we begin, you need to learn a little bit more about Weka. Weka has hundreds of different classifiers and scores of filtering algorithms. To simplify the interface, when you …

You’ll be asking what kind of problems might be addressed? What kind of input do you need about the problem? What kind of output can you expect from a data …

For successful data mining you must “know your data”; examine it in detail in every possible way. Weka’s Visualize panel lets you look at a dataset and select different attributes …

Weka include many filters that can be used before invoking a classifier to clean up the dataset, or alter it in some way. Filters help with data preparation. For example, …

A classifier identifies an instance’s class, based on a training set of data. Weka makes it very easy to build classifiers. There are many different kinds, and here we use …

The glass dataset is a more realistic dataset with 214 instances and 10 attributes. Each instance represents a piece of glass, and its class is the type of the glass. …

Key concepts when talking about datasets are instances, attributes, and the class (which is conventionally the last attribute). Attributes can be nominal or numeric (there are also other types). In …

Here’s how to load a dataset into the Weka Explorer interface, and look around it to see what’s there. It’s a tiny “toy” dataset, but all these operations work equally …

Here’s how to download the Weka data mining workbench and install it on your own computer. For future convenience, create a shortcut to the program and put it somewhere handy …

In the following video Ian downloads and installs the Weka system – and encourages you to do the same. (Note: Depending on your computer and system version, you may need …

(A full index to the course appears at the end of Week 1.) Topic   Step Datasets Labor 5.5   Regression_outliers 5.3   Weather 5.4 Classifiers IBk 5.9   J48 …

(A full index to the course appears at the end of Week 1.) TOPIC   Step Datasets Breast-cancer 4.9, 4.14   Cpu 4.4, 4.5   Cpu.with.vendor 4.5   Credit-g 4.12 …

(A full index to the course appears at the end of Week 1.) Topic   Step Datasets Breast-cancer 3.11, 3.12, 3.14   Diabetes 3.4   Glass 3.5, 3.13, 3.14   …

(A full index to the course appears at the end of Week 1.) Topic   Step Datasets Diabetes 2.11, 2.12, 2.16   Glass 2.13   Iris 2.13, 2.15   Segment-challenge/test …