Training ObjectivesThe 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 HubsLuleå University of Technology
- Data analytics
- Artificial Inteligence
- Practical exercices
- Face to face
Technology Absortion Cycle
- Awareness: supports understand the basic functionality of the technology and its fields of application.
- Plant Manager
- Computer - Software
- Research & Development
- More than 20
Date: To be confirmed
Durations: +7 days
Price: To be confirmed
ProjectOthers, Financed by LTU
Countries where training is providedSweden
Cities where training is providedLuleå
Languages this training can be provided
Views: 6 views