Past Courses on Data Mining, Analytics, and Web Mining: Q3 2007
See also Webcasts and Webinars,
Meetings and
Education pages.
July 2007
July
16-17 |
Overview/Introduction to Business Intelligence,
part of Central Michigan Univ. Research Corporation certificate program,
Atlanta, GA |
July
19-20 |
Overview/Introduction to Business Intelligence,
part of Central Michigan Univ. Research Corporation certificate program,
Centreville, VA |
July 31
Aug 1 |
Overview/Introduction to Business Intelligence,
part of Central Michigan Univ. Research Corporation certificate program,
Troy, MI |
Jul
30-31 |
Data Cleaning Techniques,
presented by Ron Cody and SAS' Business Knowledge Series,
Austin, TX |
Jul 30
Aug 1 |
Data Mining Techniques: Theory and Practice,
presented by Michael J. A. Berry or Gordon S. Linoff,
Denver, CO |
August 2007
Aug
2-3 |
Applying Survival Analysis for Business Time-to-Event Problems,
presented by Michael J. A. Berry or Gordon S. Linoff,
Cary, NC |
Aug
8-10 |
Exploratory Analysis for Large and Complex Problems,
presented by Jeff Zenah and SAS' Business Knowledge Series,
Austin, TX |
Aug
12 |
KDD-07 Tutorials, (free to all KDD-07 attendees)
- Christos Faloutsos, Tamara G. Kolda, Jimeng Sun:
Mining Large Time-evolving Data Using Matrix and Tensor Tools
- Tamraparni Dasu & Simon Urbanek:
A Statistical Framework for Mining Data Streams
- Pedro Domingos: Statistical Modeling of Relational Data
- Dunja Mladenic, Marko Grobelnik:
Text Mining and Link Analysis for Web and Semantic Web
- Giovanni Seni, John Elder:
From Trees to Forests and Rule Sets -- A Unified Overview of Ensemble Methods.
- Richard Neapolitan: Learning Bayesian Networks
- Eamonn Keogh:
Mining Shape and Time Series Databases with Symbolic Representations.
San Jose, CA |
Aug
20-22 |
Data Mining Techniques: Theory and Practice,
presented by Michael J. A. Berry or Gordon S. Linoff,
Chicago, IL |
September 2007
Sep
17-18 |
Tools for Discovering Patterns in Data: A Survey of Modern Data Mining Algorithms,
presented by John Elder, Charlottesville, VA.
|
Sep
17-19 |
Survival Data Mining: Predictive Hazard Modeling for Customer History Data,
presented by Bob Lucas, Ph.D., Director of Statistical Training and Technical Services, SAS, based on materials created by Will Potts, New York, NY
|
Sep
18-19 |
Predictive Modeling for Customer Analytics,
by Insightful, San Francisco, CA |
Sep
20-21 |
Data Mining Cookbook: Introduction to Effective Predictive Modeling,
presented by C. Olivia Parr-Rud, Data Mining Strategist Consultant, OLIVIAGroup, and author of The Data Mining Cookbook. Boston, MA |
Sep
20-21 |
Applying Survival Analysis for Business Time-to-Event Problems,
presented by Michael J. A. Berry or Gordon S. Linoff,
Austin, TX |
Sep
20-21 |
Predictive Analytics for Business, Marketing, and Web,
presented by Eric Siegel, Ph.D. (Prediction Impact),
covering the techniques, tips and pointers needed to run a successful data mining initiative,
San Francisco, CA
|
Sep
24-25 |
DATA MINING: LEVEL I,
An Intensive Overview of Strategy, Best Practices and Case Studies for Predictive Analytics,
presented by Tony Rathburn,
San Diego, CA |
Sep
26-27 |
DATA MINING: LEVEL II,
A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques,
presented by Dean Abbott,
San Diego, CA |
Sep
28 |
DATA MINING: LEVEL III,
A Hands-On Application Workshop for Data Mining Practitioners,
presented by Dean Abbott,
San Diego, CA |
Sep
27 |
Data Cleaning Techniques,
presented by Ron Cody and SAS' Business Knowledge Series,
Rockville, MD |
Data Mining related courses for Q4 2007: Oct, Nov, Dec.
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