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

Details

Website

[email protected]

Date: 2020 - Always available

Durations: 1h to 4h

Price: free

Project

Scottish Regional Manufacturing Digital Innovation Hub's AFRC and NMIS

Countries where training is provided

United Kingdom

Cities where training is provided

Glasgow

Languages this training can be provided

English

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