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 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
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.
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).
Courses and Events
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University of California, San Diego Extension: Text Mining
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.
- November 4, 11, & 18, 2011 9:00am - 4:00pm
- February 3, 10, & 17, 2012 9:00am - 4:00pm
Predictive Analytics World Conference:
San Francisco, CA - March 4 - 10, 2012
DM Radio:
- Acres of Diamonds -- Mining Enterprise Data with an Open Mind - April 5, 2012
- Save Money, Streamline Operations with Business Analytics - May 17, 2012
- Rules, Rules, Rules-The Magic of Real-Time Decisioning - November 29, 2012
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.
Text Analytics World:
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
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:
- 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:
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: 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 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
Health Club Survey Analysis, Part I: Successful application of data mining by Abbott Analytics
University of California, San Diego La Jolla, CA - November 4, 11, & 18, 2011
Predictive Analytics World Conference New York, NY - March 4 - 10, 2012
DM Radio April 5, 2012
Abbott, Dean, Making Large Feature Sets Manageable for Prediction of LD50 from 3-D Chemical Structure (PDF), 7th Annual Insightful Users' Conference, Las Vegas, NV, October 8-10, 2003.