Abbott Analytics, Inc.: 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, Inc.?

Abbott Analytics, Inc. leads organizations through the process of applying and integrating leading-edge data mining methods to marketing, research and business endeavors. Abbott Analytics, Inc. is dedicated to improving your efficiency, tax compliance, profitability, and research through data mining.

Recent data mining consulting engagements include fraud detection, acquisition and churn models, survey analysis, models for predictive toxicology, and exploratory data analysis. Recent training engagements include workshops to accelerate company effectiveness in data mining using Clementine (SPSS, an IBM Company), Statistica (StatSoft, Inc.), Enterprise Miner (SAS), CART (Salford Systems), Affinium Model (Unica Corporation), and Tibco Spotfire Miner (Tibco).

As a data mining researcher over the past 21 years, its founder and lead data mining expert, Dean Abbott, has applied advanced data mining, data preparation, and data visualization methods to real-world business challenges to help organizations gain valuable insight into their data. Dean is effective both in the role of an expert to assess and analyze data, and as a mentor to work closely with your in-house team to build a solution. He is also a seasoned instructor, having taught a wide range of data mining topics for a decade to audiences of up to 400, explaining data mining concepts in language readily understood by a wide range of audiences, including data mining novices, data analysts, statisticians, and business professionals.

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

Abbott, D.W., H. Vafaie, M. Hutchins, and D. Riney, Improper Payment Detection in Department of Defense Financial Transactions (PDF - 320 KB), Federal Data Mining Symposium, Washington, DC, March 28-29, 2000.