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Toronto Data Mining ForuM

The Data Mining Form is an opportunity for you to explore Data Mining related issues, share ideas and discuss industry standards and trends with your peers. Each session will explore current trends, new technology and Data Mining techniques through presentations and discussion sessions. 

If you're involved in the application of data mining for marketing, credit scoring or fraud detection, then this forum is for you! The session will focus on sharing best practices, techniques and approaches to data mining. As always, these meetings are free to attend.

Our Next Meeting:  To be announced.


Highlights from our last meeting:
Thanks to everyone who contributed to another successful Data Mining Forum this past fall.  A full agenda and lots of speakers contributed to an engaging and rewarding meeting.

Check out the forum's independent site at www.torontodatamining.ca.

If you would like to be notified of upcoming Forum dates, please SUBSCRIBE to our Data Mining distribution list.

Have you subscribed to insights, the Canadian SAS user newsletter?  Delivered to your email 3 times a year, insights is full of technical tips and tricks, event listings and SAS user profiles, contests, SAS Global Forum updates and more!  You can SUSCRIBE by creating or updating your SAS Profile.

Presentation Archive:

  • An Update from SAS – Matt Malczewski, SAS Canada **NEW
  • Comparing Different Classification Techniques in Credit Scoring – Dr. Saed Sayad, iSmartsoft Inc.**NEW
  • An Elasticity Similarity Distance & Application – Kelvin Li, CIBC **NEW
  • Ensuring Model Performance: A Business Manager’s Perspective – Gene Jigota, TSBC Consulting **NEW
  • What’s New at SAS - Belinda Bank, SAS Canada
  • A Re-Introduction to Spline Modeling for Non-Linear Trends - Derek Montrichard, Canadian Imperial Bank of Commerce
  • Tips & Tricks - Lorne Rothman, SAS Canada
  • Data Expansion in Credit Risk Modeling - Mark An, Canadian Imperial Bank of Commerce
  • Predictive Modeling in Retail - Jim Godfrey, SAS Canada
  • Data Mining & Fraud - Maral Sadr, CIBC (Fall, 2008)
  • Enrollment Management Using Decision Tree Analysis (Fall, 2008) - Don Curzon, Sheridan Institute of Technology and Advanced Learning
  • An Introduction to Similarity Analysis Using SAS (Fall, 2008) - Jennifer Lee, SAS Institute (United States)
  • Charting Our Health by the Stars - Peter Austin, Senior Scientist, Institute for Clinical Evaluative Sciences (Spring 2008)
  • The Bump Hunting Algorithm - Peter Chu, Modeling Consultant, CIBC (Spring 2008)
  • Web Analytics Full Circle: Back to the Data Mine - Christopher Berry, Senior Analyst, Critical Mass (Spring 2008)
  • SAS, Data Mining and Analytics - Albert He, Director, Advanced Analytics & Modeling, Scotiabank International Banking (Spring 2008)
  • Flexible and practical modeling with the GNBC: A Case Study - Kim Larsen, Charles Schwab and Co., Inc. (Spring 2007)
  • Reject Inference Methodologies In Credit Risk Modeling - Derek Montrichard, CIBC (Spring 2007)
  • Operationalizing Analytics - Dan McKenzie, SAS Canada (Fall 2006)
  • Implementing a CRM Analysis: Challenges and Solutions - Regina Malina, Redwood Data Sciences (Fall 2006)
  • Note From Sponsor SAS (Fall 2006)
  • Data Audit - Saed Sayad, Smartsoft Canada Inc (Spring 2006)
  • The Length Bias in Sampling - Eric Granz, Scotia Bank (Spring 2006)
  • Fitting General Curves - Daymond Ling, CIBC (Spring 2006)
  • Traps of Missing Values - Hua Shi, CIBC (Spring 2006)