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Data Mining: Advanced Data Mining

 
         
New for 2014   Ref. 308  
  Bart Baesens and David Martens
  16 July 2014, Birmingham
  £665 + VAT Members
  £715 + VAT Non-members
         

 

   
   Foundation
   Descriptive NA
   Predictive 100%
   Prescriptive
 

What delegates will learn from the course

Developing skills learnt from the Techniques and Applications course [No 307]

  • State-of-the-art techniques in data mining: Support Vector Machines; Bayesian Networks; Rule Extraction; Text Mining Recommender Systems
  • Social Network Analysis (SNA): Principles of SNA; Mining Networked data; Applications in advertising, fraud detection and customer analytics
  • Big Data: Principles of Big Data; The mapReduce paradigm; Mining Big Data; Applications in government and marketing
  • The Black Swan

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