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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.

Our Next Meeting:  Stay tuned for more details.

Highlights from our last meeting:
Thanks to everyone who contributed to another successful Data Mining Forum this past spring.  A full agenda and lots of speakers contributed to an engaging and rewarding meeting. Presentations will be posted shortly in our presentation archive below.

Thanks to all who attended and we look forward to seeing you all again in the fall.

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.

Presentation Archive:

  • Charting Our Health by the Stars - Peter Austin, Senior Scientist, Institute for Clinical Evaluative Sciences (Spring 2008) **NEW
  • The Bump Hunting Algorithm - Peter Chu, Modeling Consultant, CIBC (Spring 2008) **NEW
  • Web Analytics Full Circle: Back to the Data Mine - Christopher Berry, Senior Analyst, Critical Mass (Spring 2008) **NEW
  • SAS, Data Mining and Analytics - Albert He, Director, Advanced Analytics & Modeling, Scotiabank International Banking (Spring 2008) **NEW
  • 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)
  • Fall Meeting: Welcome and Introductions - Maral Sadr, CIBC (Fall 2005)
  • We're not in Kansas Anymore - David Yeo, SAS Canada (Fall 2005)
  • Linking Attitudinal Survey Data to Databases - Ken Mison, CRM Research Solutions (Fall 2005)
  • M2005 Recap - Swetlana Ljubicic, Scotiabank (Fall 2005)
  • What is the Value of Data Mining Anyway? ¨C Daymond Ling, CIBC (Spring 2005)
  • Estimating Profit Variability ¨C Joyce Yu Chen, SAS Canada (Spring 2005)
  • The Power to Know
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