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
Technology
- Others
Technique
- Video
- Webinar
Channel
- Online
Technology Absortion Cycle
- Awareness of technology
Target Group
- Directors
- Plant Manager
- Engineers
- Operators
Instruction Level
- Foundation
- Intermediate
Sector
Education Level
- Bachelor
- Master
- PhD
Capacity
- More than 20
Project
Scottish Regional Manufacturing Digital Innovation Hub's AFRC and NMISCountries where training is provided
ArrayCities where training is provided
GlasgowLanguages this training can be provided
Array
![Imagen](https://i4ms.eu/wp-content/uploads/2021/07/Consciousness-Road-to-the-Unified-Field..png)
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