Abbott Analytics, Inc.: Data Mining Consulting
Services

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).

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Data Mining Courses and Seminars

Courses and Events

Data Mining Courses and Seminars from Abbott Analytics

Upcoming Courses and Events (Nationwide)

University of California, San Diego Extension:
   Introduction to Text Mining
           With experts claiming that unstructured data comprises more than 80% of the stored business information, text mining has emerged as a critical leading-edge technology. This course will describe practical techniques for text extraction and text mining in a data mining context, including document clustering and classification, information retrieval and the enhancement of structured data. An emphasis on practical use of text mining in a business context will be evident throughout.
            - Fall Quarter 2014; September 29 - November 10, 2014

Predictive Analytics World Conference, Keynote Speaker:
            - London, England - October 29 - 30, 2014

Predictive Analytics World Conference, Keynote Speaker:
            - Berlin, Germany - November 4 - 5, 2014

CRM Conference, Keynote Speaker:
            - Lausanne, Switzerland - November 6 - 7, 2014


Customer On-Site 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.


Past National Courses and Presentations

All Analytics A2 Radio:
   The Art of Predictive Modeling - August 20, 2014

University of California, Irvine Extension:
   Algorithms, Modeling Methods, Verification & Validation
            - Summer Quarter 2014; July 21 - September 7, 2014
            - Winter Quarter 2014; January 27 - March 16, 2014
           Learn how to use the basics of predictive analytics and modeling data to determine which algorithms to use. Understand the similarities and differences and which options affect the models most. Discover how to verify and validate your model. Topics covered include predictive analytics algorithms for supervised learning, including decision trees, linear and logistic regression, neural networks, k-nearest neighbor, support vector machines, and model ensembles. Gain a deeper understanding of how algorithms work qualitatively by reviewing best practices and the influence of various options on predictive models.

7th KNIME User Group Meeting and Workshops:
           This annual event serves an international forum for discussion of KNIME and how it is used in various fields such as business and customer intelligence, analytics and the life sciences. It brings together practitioners and researchers from around the world to explore KNIME and examine how KNIME is used in different industries.
            - Zurich, Switzerland February 12 - 13, 2014

1st San Diego KNIME Meet-Up:
           This is the inaugural San Diego KNIME Meetup. We will recap the highlights from the KNIME User Group Meeting in Zurich earlier that month and we will also have a couple of user presentations from the area. There will be plenty of time for questions, discussions and informal chats over small bites and drinks.
            - San Diego, CA February 26, 2014

Webinar, Hosted by EITA Global:
   Key Steps in Starting Your First Predictive Analytics Project
           This webinar summarizes the best practices for building predictive models including both the art and the science of PA during each stage of the process, including Data Understanding, Data Preparation, Predictive Modeling and Deployment.
            - January 14, 2014; 10:00am PST (1:00pm EST)

IBM SPSS Modeler Seminar Series, Hosted by Quebit:
   Techniques for Unbalanced Data
           Unbalanced data is a common problem in data mining the imbalance of sample size of categories in a target variable. The standard way of addressing the problem is to discard cases using the balance node. But is this the only way? This seminar will discuss the pros and cons of a variety of methods of addressing the problem using Modeler. The balance node will be briefly reviewed, but the focus of the seminar will be the many alternatives to using the balance node in the standard way. Creative ways of using the balance node will be discussed as way as well as techniques like adjusting priors and utilizing costs. In addition there will be a one-hour question and answer follow-up session to address any student questions or concerns.
            - January 22, 2014; 1;00pm - 4:00pm EST
            - January 23, 2014; 1;00pm - 2:00pm EST; Q & A Follow Up

Talent Analytics Webinar:
   Modeling Analytics Dream Team
           - September 11, 2013 (12:00 - 1:00pm EST)
           Dean will discuss his extensive experience as an analytics professional, building successful analytics teams, working with clients to build their analytics teams, being part of an extended analytics team inside an organization as well as with Elder Research during its early years.

The Briefing Room:
   Bridging the Gap: Analyzing Data in and Below the Cloud
           - Tuesday, July 23, 2013 - 4:00pm ET
           Today's desire for analytics extends well beyond the traditional domain of Business Intelligence. That's partly because business users are realizing the value of mixing and matching all kinds of data, from all kinds of sources. One emerging market driver is Cloud-based data, and the desire companies have to analyze this data cohesively with their on-premise data sets. Register for this episode of The Briefing Room to learn from Analyst Dean Abbott, who will explain how the ability to access data in the cloud can play a critical role for generating business value from analytics.

ISACA San Diego Chapter Meeting:
   Predictive Data Analytics and Fraud Detection
           - San Diego, CA - June 20, 2013

Data-Intensive Summer School:
   Introduction to Text Mining (KNIME Installation, Data and workflow instructions)
           - San Diego, CA - June 10, 2013

Fact-Based Performance Management 2013:
   Next Generation Performance Management: Moving from Business Intelligence to Predictive Analytics
           - San Diego, CA - June 6, 2013
           Create a rock solid foundation to advance performance management and grow your analytics practice

Southern California Chapter of the Marketing Research:
         - Anaheim, CA - May 2, 2013

INFORMS Conference on Business Analytics & Operations:
         - San Antonio, TX - April 7 - 9, 2013

PACE (Predictive Analytics Center of Excellence) Data Mining Boot Camp 2:
   Overview of Text Mining
         - San Diego, CA - February 8, 2013
         - San Diego, CA - October 18, 2013

Pace Tech Talk: Why Model Ensembles Win Data Mining Competitions
The most effective approach to win predictive analytics data competitions and producing highly accurate predictive models is the use of model ensembles, a technique that combines predictions from multiple models into a single score. The use of ensembles has revolutionized predictive modeling not just in competitions, such as the Netflix Prize, Kaggle, and PAKDD competitions, but also in everyday modeling. This talk introduces model ensembles and will walk through the history of model ensembles in machine learning and predictive analytics, including Bagging, Boosting, Random Forests, Stochastic Gradient Boosting, and heterogenous ensembles. While ensembles appear to be more complex than individual models, thus violating Occams Razor, this talk will explain how to unravel the apparent contradiction. Real-world examples of the application of model ensembles will be provided throughout the talk.
    - San Diego, CA - November 14, 2012

Joint Statistical Meetings (JSM): Moderator
Senior executives of major predictive analytics and data mining software firms come together for a panel discussion. Data miners and analysts can hear firsthand the perspectives of the founders, CEO's, and other senior executives at Frontline Systems, Revolution Analytics (R), Rapid-I, Salford Systems, SAS, Statsoft. "Big data" is a rapidly evolving field - so what are these key decision-makers hearing from customers? What are their own plans? Where do they think predictive analytics is headed? What will surprise us? The format will be a dynamic panel-style question/answer session, moderated by industry specialist Dean Abbott (noted for his vendor-neutral workshops on data mining). Audience questions are accepted in advance will be worked into the program.
       - San Diego, CA - August 1, 2012

University of California, San Diego Extension: Text Mining
With experts claiming that unstructured data comprises more than 80% of the stored business information, text mining has emerged as a critical leading-edge technology. This course will describe practical techniques for text extraction and text mining in a data mining context, including document clustering and classification, information retrieval and the enhancement of structured data. An emphasis on practical use of text mining in a business context will be evident throughout.
          - May 11, 18, & 25, 2012; 9:00am - 4:00pm
          - February 3, 10, & 17, 2012 9:00am - 4:00pm
          - Spring Quarter 2014; April 28 - June 2, 2014

Text Analytics World:
         Case Study: Rules Rule: Inductive Business-Role Discovery in Text Mining
           - San Francisco, CA - March 7, 2012
         Customer Support Case Study: A Fortune 500 global technology company
         Rules Rule: Inductive Business-Rule Discovery in Text Mining
           - New York City, NY - October 19, 2011

Data Mining Conference at a Fortune 500 Company: Speaker / Expert Panelist
       - San Diego, CA - May 30, 2012

SAS Customer Connection for Data Mining: Speaker / Expert Panelist
       - Cary, NC - June 4 - 6, 2012

JMP Live Webcast: Analytically Speaking
Many people ask Dean Abbott, President of Abbott Analytics, Inc., how to succeed in data mining and predictive analytics. Now you can, too. We've invited Abbott, a noted data mining expert with more than two decades of experience, to lead us in a conversation about applying advanced data mining, data preparation and data visualization methods to real-world, data-intensive problems.
       - On-line - June 6, 2012; 7:00am Pacific, 10:00am Eastern

Decision Management Solutions Webinar:
    - Ten Best Practices in Operational Analytics - February 9, 2011

Predictive Analytics World Government:
         Defense Finance & Accounting Service (DFAS) Case Study
           - Washington, DC - September 12 - 13, 2011

DM Radio:
    - Back to Basics Best Practices for Data Mining - September 19, 2013
    - Rules, Rules, Rules: The Magic of Real-Time Decisioning - November 29, 2012
    - Acres of Diamonds -- Mining Enterprise Data with an Open Mind - April 5, 2012
    - The Power of Prescience: Achieving Lift with Predictive Analytics - February 24, 2011
    - Stop Thief! Fraud Detection in a Web-Enabled World - September 9, 2010
    - Embedded Analytics and Business Rules: The Holy Grail? - June 3, 2010
    - Text Analytics in the Contextual Enterprise - September 17, 2009
    - Putting the Context Around Text Mining - April 17, 2008

ACM Data Mining Camp: Expert Panelist
   Focus is on Data Mining, Analytics, Cloud Computing, Machine Learning, and the various applications of these technologies.
       - November 13, 2010

Predictive Analytics World Conference:
   Keynote Speaker
        - Berlin, Germany - November 4 - 5, 2013
   Data Preparation from the Trenches: Four Approaches to Deriving Attributes
            - Boston, MA - October 7, 2014
   Supercharging Prediction: Hands-On with Ensemble Models
       - Boston, MA - October 8, 2014
        - San Francisco, CA - March 19, 2014
       - San Francisco, CA - April 17, 2013
   My Five Predictive Analytics Pet Peeves
        - Toronto, ON - May 14, 2014
       - Chicago, IL - June 12, 2013
       - San Francisco, CA - April 16, 2013
       - Toronto, ON - March 20, 2013
   What is Big Data Analytics: A Canadian Perspective
       - Toronto, ON - March 21, 2013
   Workshop: Advanced Methods Hands-On: Predictive Modeling Techniques
       - Boston, MA - October 9, 2014
        - Toronto, ON - May 12, 2014
        - San Francisco, CA - March 20, 2014
       - Chicago, IL - June 14, 2013
       - San Francisco, CA - April 18, 2013
       - Toronto, ON - March 18, 2013
       - Boston, MA - October 4, 2012
       - Chicago, IL - June 28, 2012
       - Toronto, ON - April 27, 2012
       - San Francisco, CA - March 8, 2012
   Full-Day Workshop: Hands-On Predictive Analytics
       - New York, NY - October 18, 2011
       - San Francisco, CA - March 17, 2011
       - Washington, DC - October 18, 2010
       - San Francisco, CA - February 16 - 17, 2010
       - Washington, DC - October 20 - 21, 2009
   Case Study: Hiring and Selecting Key Personnel Using Predictive Analytics
       - Chicago, IL - June 26, 2012
       - Toronto, ON - April 26, 2012
   Case Study: YMCA - Turning Member Satisfaction Surveys into an Actionable Narrative
       - New York, NY - October 19, 2011
       - San Francisco, CA - March 14, 2011
       - Washington, DC - October 19, 2010
   How to Improve Customer Acquisition Models with Ensembles and
   Cross-Industry Challenges and Solutions in Predictive Analytics
       - San Francisco, CA - February 18 & 19, 2009

eMetrics Marketing Optimization Summit:
       - Predicting the Future New York, NY - October 21, 2011
       - Behavioral Driven Marketing Attribution San Jose, CA - May 3 - 7, 2010

The Modeling Agency Webinar:
    - Failure to Launch: How to get Predictive Analytics off the Ground and into Orbit - March 16, 2010

StatSoft Webinar:
    - Wisdom of Crowds: Using Ensembles of Predictive Models - February 24, 2010

Salford Data Mining Conference:
    - A More Transparent Interpretation of Health Club Surveys
      San Diego, CA - May 24, 2012
    - A Business-Centric Solution to Text Mining of Help Desk Data using CART
      San Diego, CA - August 23 - 25, 2009

TDWI World Conference: Data Mining Techniques, Tools, and Tactics
    - Las Vegas, NV - February 22 - 27, 2009


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

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.