wbk Institute of Production Science

Seminar Data Mining in Production

  • type: Seminar (S)
  • chair: KIT-Fakultäten - KIT-Fakultät für Maschinenbau - Institut für Produktionstechnik
    KIT-Fakultäten - KIT-Fakultät für Maschinenbau
  • semester: SS 2021
  • lecturer: Prof. Dr.-Ing. Gisela Lanza
  • sws: 2
  • lv-no.: 2151643
  • information: Online

In the age of Industry 4.0, large amounts of production data are generated by the global production networks and value chains. Their analysis enables valuable conclusions about production and lead to an increasing process efficiency. The aim of the seminar is to get to know production data analysis as an important component of future industrial projects. The students get to know the data mining tool KNIME and use it for analyses. A specific industrial use case with real production data enables practical work and offers direct references to industrial applications. The participants learn selected methods of data mining and apply them to the production data. The work within the seminar takes place in small groups on the computer. Subsequently, presentations on specific data mining methods have to be prepared.


Learning Outcomes:

The students …

  • can name, describe and distinguish between different methods, procedures and techniques of production data analysis.
  • can perform basic data analyses with the data mining tool KNIME.
  • can analyze and evaluate the results of data analyses in the production environment.
  • are able to derive suitable recommendations for action.
  • are able to explain and apply the CRISP-DM model.



regular attendance: 10 hours
self-study: 80 hours

Language of instructionGerman

KNIME Analytics Platform

KNIME Analytics Platform

Organisational issues

Die Teilnehmerzahl ist auf zwölf Studierende begrenzt. Termine und Fristen zur Veranstaltung werden unter https://www.wbk.kit.edu/studium-und-lehre.php bekanntgegeben.

The number of students is limited to twelve. Dates and deadlines for the seminar will be announced at https://www.wbk.kit.edu/studium-und-lehre.php.