University of Minnesota
University Relations

Minnesota Supercomputing Institute

Log out of MyMSI

Tutorial Details: Getting Started With Data Mining Techniques: Classification, Clustering, and Association Analysis Using Weka

Date: Thursday, November 29, 2007, 01:00 pm - 03:00 pm
Location: 575 Walter
Instructor(s): Dr. Michael S Steinbach, , Haoyu Yu, MSI

Trying to discover patterns in data? Looking for techniques for classification and prediction? In this hands-on tutorial, we will show you how to accomplish these data mining tasks using Weka. Weka is a freely available software package for knowledge analysis and pattern discovery that contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

In this tutorial, we go through the basic steps involved in loading data into Weka, exploring and filtering data, and applying Weka data mining tools. The main focus is on techniques for classification, such as decision trees or neural nets, but we will also explore the other capabilities of Weka (clustering, association analysis, etc.) as time allows.

Prerequisites: None