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MGS 8040: Data Mining Summer 2019


Wednesdays 5:30 – 9:45 PM

Buckhead Center

(200 Tower Place) Room 404

CRN: 53355




Assignments Due

(Post to iCollege)

Week 1: 6/12


Introduction – DM Overview

Regression Review 

Simple Regression

Shoe size data

Height - Multicollinearity

Data and Cows


Notes – Simple Regression

Notes – Multiple Regression


Solution to Exercise

Does p-value matter?


Interaction Effect

1.   Regression Analysis

Regression Dataset


(due Sunday, 6/16 by 11:59 PM. To iCollege)

Week 2: 6/19

Understanding Credit Data –

Equifax / Experian / Trans Union


The Initial Client Meeting


Introduction to SAS

SAS Training at UCLA

Notes – Initial Client Meeting

Sample Design Exercise

Solution to Exercise

Data Cleaning

Notes – Basic SAS Analysis
The Little SAS Book

By Delwiche & Slaughter

Data1 subset in Excel

2.  Application – Dep. Var, Outcome, Sample time frame


3. SAS assignment

Folder Instructions


(both due Sunday, 6/23) by 11:59 PM. Post to iCollege as separate Assignments).

Week 3: 6/26

Data Cleaning

Dummy Variable Definition


Class Handout

Solution to Handout


Intro to Logistic Regression,

Discriminant Analysis

Data Warehouse introduction

Books by Edward Tufte.

Gallery of Data Visualization

WHO visualization


SAS Programs for dummies, Regression and Scoring

Logistic Regression

Logistic Reg SAS program

4. Crosstabs, Dummy decisions

(due Sunday 6/30 by 11:59 PM)

Week 4: 7/3


Test 1   (5:30 – 7:00 PM)


7:15 – 9:45 PM

Model Validation – KS Test





PROJECT Dataset Sources


1. Dr. Miller’s List

2. UCI Machine Learning

3. Kaggle

Week 5: 7/10

Effectiveness of models – A review of methods



   Cluster Analysis

   SPSS Output (Cluster)

Research Paper on Model Effectivenss

Factor Analysis

Clustering Paper

5. Discrim, KS

(due 7/07 by 11:59 PM)


SAS Programs for Regression/Scoring

Week 6: 7/17

Test 2 (5:30 – 7:00 PM)


Association Techniques, Monitoring Reports, Review

Classification Trees

Week 7: 7/24

Project Work


Week 8: 7/31

Project Presentations – 5:30 to 7:30/7:45 PM

Guest Lecture: J. P. James, Libreum International


Project Reports Due [Guidelines]

Sample Final Project