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

Abbott Insights

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 Insight 5: Beware of Automatic Handling of Categorical Variables Topic: Data Understanding and Data Preparation Sub-Topic: Feature Selection and Creation Insight 6: Gain Insights by Building Models from Several Algorithms Topic: Modeling Sub-Topic: Algorithm Selection Insight 7: Beware of Being Fooled with Model Performance Topic: Data Evaluation Sub-Topic: Model Performance

Data Mining Clients

Client List and Case Studies

Courses and Seminars

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

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

About Us

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), Affinium Model (Unica Corporation), Model 1 (Group1 Software), and hands-on courses using S-Plus and Insightful Miner (Insightful Corporation), and CART (Salford Systems).

Contact Us


Contact Abbott Analytics


  • Dean Abbott
  • Dorothy Wildman
Contact Abbott Analytics

Dean Abbott
President, Abbott Analytics
P.O. Box 22536
San Diego, CA 92192-2536
Voice: 858-922-9621
email Dean

Dorothy Wildman
Administrator, Abbott Analytics
P.O. Box 22536
San Diego, CA 92192-2536
Voice: 858-225-8467
email Dorothy

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Health Club Survey Analysis, Part I: Successful application of data mining by Abbott Analytics, Inc.

TDWI Data Science Bootcamp Seminar (Austin, TX / Virtual Classroom): September 20 - 22, 2021
PAW for Business (Virtual Classroom): May 20 - 25, 2021

Vafaie, H., D.W. Abbott, M. Hutchins, and I.P. Matkovsky, Improving Performance of Inductive Models Through an Algorithms and Sample Combination Strategy (PDF), International Journal on Artificial Intelligence Tools, Vol. 10, No. 4 (2001) 555-572.