Once again the ACM is hosting a Data Mining Camp. November 13, 2010
Location: eBay 2161 N First St, San Jose, CA 95131
Date: November 13th
Free from 11:15 AM - 7:30 PM, $30 training class from 9AM - 11:30
- The Web Site: www.sfbayacm.org/?p=1854
- The Discussion Forum: www.sfbayacm.net/bootcamp/forums/
- Pay $30 for the Class
Class Description: Data Miners are typically empirical modelers, striving for accurate models without having to force data to conform to assumptions. Additionally, most data mining software packages contain not just one technique, but several to dozens! However, it is difficult to build predictive and descriptive models without knowing what you have in your toolbox!
This workshop will describe key data mining algorithms commonly implemented in commercial and open source data mining software. The algorithms will be described in primarily qualitative terms, but will include how they are built and key "knobs" one uses to alter their behavior. Screen captures of options and results as found in several commercial and open source data mining packages will be shown throughout the workshop to show how these principles are implemented.
Dean Abbott Bio: Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.