Abbott Analytics: Data Mining Consulting

Services: Data Mining Project Assessment, Data Preparation For Data Mining, Data Mining Model Development, Data Mining Model Deployment, Data Mining Course: Overview for Project Managers, Data Mining Course: Overview for Practitioners, Customized Data Mining Engagements

Insight 1: Find Correlated Variables Prior to Modeling Topic: Data Understanding and Data Preparation Sub-Topic: Feature Selection Insight 2: Beware of Outliers in Computing Correlations Topic: Data Preparation Sub-Topic: Outliers Insight 3: Create Three Sampled Data Sets, not Two Topic: Modeling Sub-Topic: Sampling Insight 4: Use Priors to Balance Class Counts Topic: Modeling Sub-Topic: Decision Trees

Client List and Case Studies

Upcoming Data Mining Seminars A Practical Introduction to Data Mining Upcoming courses (nationwide) Data Mining Level II: A drill-down of the data mining process, techniques, and applications Data Mining Level III: A hands-on day of data mining using real data and real data mining software Anytime Courses Overview for Project Managers: Train project managers on the data mining process. Overview for Practitioners: Train practitioners (data analysts, project managers, managers) on the data mining process.

Data Mining Resources, Books, Websites, White Papers, Presentations, Tutorials

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, and IEEE 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 data mining courses for major software vendors, including Clementine (SPSS, an IBM Company), Affinium Model (Unica Corporation), Statistica (StatSoft, Inc.), and hands-on courses using S-Plus and Insightful Miner (Insightful Corporation), and CART (Salford Systems).

Why Choose Abbott Analytics?

What Happened to Abbott Analytics?

I am currently fully engaged with SmarterHQ as co-founder and Chief Data Scientist. Abbott Analytics continues to operate as the conduit for my ongoing speaking engagements as a leader in predictive analytics and for training engagements at conferences where I am speaking.

Please avail yourself to the resources, including links to my recent book, Applied Predictive Analytics (Wiley 2014), contributions to the IBM SPSS Modeler Cookbook (Packt Publishing, 2013), and Journeys to Data Mining: Experiences from 15 Renowned Researchers (Springer, 2012), and interviews over the past several years.

If you are in need of suggestions for data mining and predictive analytics consultants, I will be happy to provide references.

Invoice Fraud Detection: Successful application of data mining by Abbott Analytics

PAW - New York, NY: October 23 - 27, 2016
PAW - Berlin, Germany: November 7 - 10, 2016
TDWI Executive Summit - Austin, TX: December 5 - 9, 2016

Abbott, D.W., I.P. Matkovsky, and J.F. Elder, An Evaluation of High-end Data Mining Tools for Fraud Detection, 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, October 12-14, 1998.