Day 1: Introduction to Data Mining – Jennifer Hallinan

9:00-10:00

Chs 1-3 Intro to Clementine and Data Mining

JH

CRISP-DM & Framing a Research Question

JH

10:00-10:30

Clementine Lab

JH

10:30-11:00

Morning Tea

11:00-12:30

Ch4: Data Understanding & Prep

JH

Ch5: Checking & Transforming Data

JH

Lab work: Ch4-7 from Data Understanding & Prep book

Group Discussion on analysis techniques of interest

JH

12:30-1:30

Lunch

1:30-3:00

Lab work continues

JH

3:00-3:30

Afternoon Tea

3:30-5:00

Ch6: Inferential Data Mining Techniques

JH

Stats Lab

JH

Day 2: Modelling with Clementine – Nic Geard

9.00-9:15

Introduction

NG

9:15-10:30

Overview - Automated Data Mining Techniques

NG

10:30-11:00

Morning tea

11:00-12:30

Ch 3: Market Basket Analysis

NG

Ch 4: Neural Nets

NG

12:30-1:30

Lunch

1:30-3:00

Ch 5: Rule Induction

NG

Ch 6: Cluster Analysis

NG

3:00-3:30

Afternoon Tea

3:30-5:00

Further exercises, own data, etc.