Member Event: Knowledge Discovery and Datamining Overview (5 days)

Venue: University of East Anglia, Norwich Research Park, Norwich NR4 7TJ

Knowledge Discovery and Datamining (KDD) will enable you to transform large amounts of collected data into knowledge that can drive business decisions. For example, insights into customer behaviour can be used for cross selling opportunities, to improve the customer experience or for targeted marketing campaigns.

Our 5 day course will give you a detailed understanding of the KDD process. It will also introduce you to the main datamining techniques used to transform data into knowledge with examples of practical application.

At the end of the course, you will have:

• An introduction to the principles of Knowledge Discovery and Datamining.
• A detailed methodology for KDD.
• A detailed look at the tools used through the cleaning and preprocessing phases of the KDD project.
• A detailed look at the data mining tasks of clustering and classification, and the tools available for those.
• An understanding of the other data mining tasks.
• An understanding of the use of data mining, and in particular of the tools studied, in the Financial Services industry.
• An introduction to data mining software packages with practical sessions in clustering and classification.
• An understanding of further training requirements and opportunities.

There will be practical sessions using commercial datamining software packages illustrating their suitability for different types of project. The course is structured to provide time to discuss potential datamining projects with other delegates and our consultants.

Structure of the Course

Day 1: Introduction to the course structure and teaching the team; Introduction to datamining concepts and techniques; Case studies; Introduction to the datamining software (practical session)

Day 2: The KDD roadmap – a methodology; Data warehousing; support for the KDD roadmap in the software (practical session)

Day 3: Data cleaning and preprocessing; Support for the early stages of KDD in the software (practical session)

Day 4: Datamining – the task of classification; Datamining – the task of clustering; Clustering and classification using data mining software (practical session)

Day 5: Text mining and other datamining task; Practical exercise; Wrap up session

Course Cost The cost of this5 day course is £1,595 (residential); £1,260 (non-residential). Costs are inclusive of VAT; 10% discount for UEA Alumni. Costs include course materials, lunch and refreshments.

Registration To register, please complete our online application form. This may also be downloaded and returned to us at the address below. Please call +44 (0)1603 591578 to register by telephone.

More Information We can also deliver this course at an employer’s premises and would be happy to discuss details of this and any customisation.

Contact Us Sue Johnson Centre for Professional Development University of East Anglia Norwich Research Park Norwich NR4 7TJ

Tel: +44 (0) 1603 591578 Fax: +44 (0) 1603 591550 Email: professionaldevelopment@uea.ac.uk