AFRC’s digital manufacturing team

Initiative Description

Global manufacturing from the zero capital factory, manufacturing as a service, the sharing economy, factory in a box, through life engineering services, manufacturing in the cloud and more.

Training Objectives

The goal of the data mining course is that the participant should have gained a solid understanding of the basic data mining concepts and techniques and how they are used in a business context.

Training Contents

• The concepts of data mining, its motivation, definition, the relationships of data mining with database systems, statistics, machine learning and information retrieval. • Understanding and analyzing the knowledge discovery process with emphasis on the iterative and interactive nature of the KDD process. • Mine different kinds of data: relational, transactional, object-relational, spatiotemporal, text, web. • Mine for different kind of knowledge like classification, regression, clustering, frequent patterns, discriminant, outliers etc. • Evaluate knowledge: interestingness or quality of knowledge, including accuracy, utility and relevance. • Data mining applications: market basket analysis, energy, insurance, sports and health. • Model and solve data mining problems with Rapid Miner [member of Gartner’s magic data quadrant, 2015].

Digital Innovation Hubs


  • Others


  • Video
  • Webinar


  • Online

Technology Absortion Cycle

  • Awareness of technology

Target Group

  • Directors
  • Plant Manager
  • Engineers
  • Operators

Instruction Level

  • Foundation
  • Intermediate


Education Level

  • Bachelor
  • Master
  • PhD


  • More than 20



[email protected]

Date: 2020 - Always available

Durations: 1h to 4h

Price: free


Scottish Regional Manufacturing Digital Innovation Hub's AFRC and NMIS

Countries where training is provided

United Kingdom

Cities where training is provided


Languages this training can be provided



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