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Data files and load scripts to accompany the book Data Analysis Using SQL and Excel are available on its companion page.

Data files and user-contributed powerpoint slides to accompany the book Data Mining Techniques for Marketing, Sales, and Customer Relationship Management are available on its companion page.

Some of the illustrations used in the book Mastering Data Mining are available on its companion page.

Course Notes

Course notes are no longer available for download. Students who have taken our courses may request copies of the notes for courses they have attended by writing to info@data-miners.com. The course notes are the intellectual property of Data Miners, Inc. and are only provided for personal study by our students.

 

Data Files from Data Mining Techniques Class

NYtowns as a csv file containing 152 variables describing 1,006 towns in the state of New York. (In New York, a  "town" is a subdivision of a county which may or may not correspond to an actual incorporated village or city.)

NYtowns as a SAS dataset.

Definitions for the fields in the NYtowns data.

Catalog responders as a csv file.

Catalog responders as a SAS dataset.

Definitions for fields in the catalog data as a csv file.

Subscribers of a wireless phone company for use in survival analysis exercises as a csv file.

Subscribers of a wireless phone company for use in survival analysis exercises as a SAS dataset.


Data Files from Applying Survival Analysis for Business Time-to-Event Problems class

Mobile SAS dataset--subscribers of a wireless phone company for use in the Applying Survival Analysis for Business Time-to-Event Problems class.

Profile SAS dataset--registered visitors to the SAS web site.

Log data from the SAS web site as a SAS dataset.

Project file for SAS Enterprise Guide Version 4.

 

Papers, Presentations, and Articles

Presentation on survival analysis in data mining presented by Gordon Linoff at SUGI29.

Survival Data Mining - Article written by Gordon Linoff for Intelligent Enterprise Vol. 7 Number 12, August 2004.

Survival Data Mining- Technical white paper by Will Potts.

Customer-Centric Forecasting Using Survival Analysis- White paper by Michael Berry

Additional magazine articles and webcasts are available on the links page.


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