Modifying MUSTAFA to capture salient data

10/7/99

Click here to start

Overview

The relevant portions of data may be missed during visualization.

Large data sets can be distributed and learning applied in parallel to develop a model of interesting regions.

Learning, Creating Avatars

This data set can be used by a data mining system to create avatars.

How to Learn?

Avatar Created !!!

A Training Example

The size of the training data set was 221,936 examples

Training output

PPT Slide

In the following presentation shows an animated display of snapshots of the can exodus data set used for training. The training region is displayed by a probe point.

PPT Slide

LET US SEE HOW WELL THE AVATAR HAS LEARNED

PPT Slide

Author: Nitesh Chawla and Lawrence O. Hall

Email: chawla@csee.usf.edu

Home Page: http://morden.csee.usf.edu/~chawla/

Modifying MUSTAFA to capture salient data

10/7/99

Click here to start

Table of Contents