Knowledge Discovery and Datamining (KDD) is the non-trivial process of identifying valid, novel, understandable and potentially useful patterns in data. We need tools to transform large amounts of real world (often messy) data into information that can support decision making and ultimately increase benefits.
The one-day course is suitable for those wishing to gain a overview of the stages of a typical Knowledge Discovery and Data mining project and the key techniques used in Data mining.
The course aims to deliver an introduction to datamining techniques. It will present the process of KDD and will give a review of available tools.The concepts will be introduced in the context of application to the Financial Services industry and will include relevant examples and case studies. The course will also serve to highlight further training and opportunities.
At the end of the course, you will have:
- An introduction to the principles of datamining and analysis
- A detailed methodology for KDD
- An introduction to datamining software
The course is structured to provide time to discuss potential datamining projects with other delegates and our consultants.
Dr. Beatriz De La Iglesia is part of the Machine learning and Statistics Research group at the University of East Anglia. She has published more than 40 papers on data mining, optimisation and related topics. She has commercial and consultancy experience with several large finance and technology companies. Dr. de la Iglesia has also participated a number of research collaborations in the analysis of medical data. She is also regularly invited to give data mining courses in other international institutions such as the University of Bologna, Italy.
Contact us for more information on future course dates and prices.
We can also deliver this course at an employer's premises and would be happy to discuss details of this and any customisation.
For more information on the courses and services we can offer please contact:
Centre for Professional Development
University of East Anglia
Norwich Research Park
Tel: +44 (0) 1603 591578
Fax: +44 (0) 1603 591550