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This was the labs page for the fourth year undergraduate course in data mining for MSISS and mathematics students in 2009-10, lectured by Dr Myra O'Reagan with labs written and co-ordinated by Louis Aslett.

Useful Links

Introduction to R

R reference card

RSeek, Google powered search engine of R resources

Labs

Lab 1 - R Refresher

Lab 2 - A Basic Tree Classifier

Lab 3 - Tree Detail, Variable Importance and Missing Data

Lab 4 - New Tree Data Set and Loss Matrices

Lab 5 - More Programming Concepts and Model Evaluation

Lab 6 - Introduction to Neural Networks

Lab 7 - Neural Networks for Classification

Lab 8 - More Model Evaluation

Lab 9 - Random Forests

Data Sets

Titanic Survivor Data

Telecom Customer Churn Data

Cheese Taste Data

German Credit Rating Data   -   Explanation of codes in the data set

Supporting Code

importance.R - Function to rank importance of classifying variables in a tree

Code from lecture explaining lab 5

Video Guides

Installing R

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Installing Rattle

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The labs for this year were written by PhD student Louis Aslett to change the course from using SAS to R.