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Data Mining: Techniques & Applications

 
         
  Ref. 396  
  Bart Baesens and David Martens
  10 May 2016, Birmingham
  £665 + VAT Members
  £715 + VAT Non-members
  Hands-on course
         

 

   
   Foundation
   Descriptive NA
   Predictive 100%
   Prescriptive
 

This course provides an overview of popular techniques and applications of data mining

You’ll gain an overview of popular techniques used in data mining (e.g. decision trees, regression approaches, association and sequence analysis, clustering, ...), an overview of popular applications of data mining (e.g. churn prediction, response modelling ,market basket analysis, fraud detection, credit scoring, ....); new insights into data pre-processing (sampling, missing values, outliers, ...) and exploratory data analysis; opportunities for improved decision making in a data-driven way and a high-level overview of data mining for social network analysis.

As a result of attending this course, you’ll:

  • Become aware of recent trends in data mining and data analysis
  • Learn how to fully leverage your data using state-of-the-art technology
  • Learn how to develop high-performing data mining models
  • Detect cross-fertilization opportunities between related application fields
  • Learn how data mining can be used to optimise business decision making

Course Provider: Bart Baesens and David Martens

If you are interested in further information, have any requirements (e.g. an alternative course date), or have difficulty booking a course online then please contact Jennie Phelps. It is recommended that courses are booked online. If this is not possible, then please print off, fill and fax or post the Training Course Booking Form.

 
Jennie Phelps   Address:  The OR Society, Seymour House, 12 Edward Street, Birmingham, B1 2RX, UK
  Tel: +44 (0)121 233 9300
  Fax: +44 (0)121 233 0321
  Email: jennie.phelps@theorsociety.com