Dean Abbott, President, Abbott Analytics

Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 20 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including tax risk and collections, fraud detection, customer analytics (response, cross-sell, segmentation models), survey analysis, planned giving, and predictive toxicology. In addition, he has developed and evaluated algorithms for use in commercial data mining products.

Mr. Abbott is a seasoned instructor, having taught a wide range of data mining, tutorials and seminars for a decade to audiences of up to 400, including DAMA, KDD, AAAI, IEEE conferences as well as users conferences for SPSS, Insightful Corp., and Salford Systems, having also served twice on the industrial program committee for KDD conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Mr. Abbott also has taught applied courses for major software vendors, including Clementine (SPSS), Affinium Model (Unica Corporation), Model 1 (Group1 Software), and hands-on courses using S-Plus and Insightful Miner (Insightful Corporation), and CART (Salford Systems).