Predicting hazardous materials in the Swedish building stock using data mining

Research output: ThesisLicentiate Thesis

368 Downloads (Pure)
Original languageEnglish
QualificationLicentiate
Awarding Institution
  • Division of Building Physics
Supervisors/Advisors
  • Mjörnell, Kristina, Supervisor
Thesis sponsors
Award date2022 Feb 24
Place of PublicationLund
Publisher
ISBN (Print)978-91-88722-77-5
ISBN (electronic) 978-91-88722-78-2
Publication statusPublished - 2022 Jan 14

Subject classification (UKÄ)

  • Building Technologies

Cite this