NJ SAS Users Group 2018 Fall Meeting

The meeting is Friday, November 2nd - 9:00am - 12:00 noon


The Chubb Corporation

202 Hall's Mill Rd, Building A
Whitehouse Station NJ 08889

At 1st Floor Training Rooms

For Directions Click Here


Registration will start at 9:00am, followed by two informative presentations. The meeting will be wrapped up around noon..


1. If you are planning to be with us on November 2nd, click on the Register button above and pre-register.

When arriving for the meeting, park at Level A (ground level).
The parking garage is limited to Chubb employees only.

2. This meeting is FREE to all NJ SAS User Group members and to Chubb employees! $25 for non-members.

Your Donations are always welcome. NJ SUG relies on your support to continue operating.

  1. Contribute with Pay Pal.
    Send payment to nj.sas.users.group@gmail.com. * PREFERRED *
  2. Contribute with cash or a check at the door.
    Checks are payable to: "NJ SAS Users Group".
  3. Also, we now accept credit cards.

Your support will help us to continue hosting informative meetings about SAS.

Our Speakers

Melodie Rush, Statistician for SAS Customer Loyalty

MelodieRush Melodie Rush is the Statistician for the Customer Loyalty Team at SAS Institute. Melodie received both her B.S. in Statistics and her Masters in Science of Management with a technical option in Statistics from North Carolina State University. Before joining SAS in 1996, Melodie worked for Research Triangle Institute as a Statistician. Her responsibilities included implementing national and local surveys of various topics, such as health care, employee benefits, and drug abuse. As part of her research, she has published work for both the American Statistical Association and the American Public Health Association.

After joining SAS, Melodie has developed presentations and methodology for doing many types of analysis, including data mining, forecasting, data exploration and visualization, quality control and marketing. She has spent the last 15 years helping companies identify and solve problems in each of these analytical areas.

Proposed Time Schedule

  • 9:00 - 9:20 am Welcome and Registration
  • 9:20 - 10:30 am Introduction to Machine Learning in SAS by Melodie Rush
  • 10:30 - 10:45 am Break
  • 10:45 - 11:00 pm Random Access: Ask questions, make announcements, etc.
  • 11:00 - 12:00 am Exploring & Modeling Using Interactive Decision Trees in in SAS® Enterprise Miner™r
  • 12:00 noon Door Prize Drawing & Farewell Announcements


Abstracts of Our Presentations


Introduction to Machine Learning in SAS

by Melodie Rush, Statistician at SAS Institute

This presentation answers the questions of What is Machine Learning? And What does SAS offer for Machine Learning? Examples of specific machine learning techniques such as Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks and K-means are covered.  


Exploring & Modeling Using Interactive Decision Trees in SAS® Enterprise Miner™

by Melodie Rush, Statistician at SAS Institute

Decision trees are a useful, multi-purpose tool in a modeler’s tool chest. Not only can decision trees be used for predictive modeling, they can be used for variable selection, variable importance, interaction detection, missing value imputation and model interpretation. In this session, we will discuss and illustrate how to take advantage of the decision tree tool in SAS® Enterprise Miner™ including interactive decision trees for exploration and modeling.