Improving Business with Data mining

Initiative Description

Gain a solid understanding of the basic data mining concepts and techniques and how they are used in a business context.

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

Luleå University of Technology