UE Data Mining

TitleData Mining
Weekly hours2 SSt. (3 ECTS)
ObjectivesStudents are enabled to apply data mining methods and techniques to recognize patterns that reveal potentially unknown knowledge from integrated and cleaned organizational data bases. They know the phases of the data mining process, important domains and typical problems of data and Web mining, and are familiar with common data mining tools.
  • Data mining process (KDD - Knowledge Discovery in Data)
  • Data mining techniques: Clustering, Classification, Association rules, Generalization
  • Data mining applications
  • Data mining tools
  • Case studies and practical scenarios, with a particular focus on web mining.