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Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests

Title data

Arpaci, Alexander ; Malowerschnig, Bodo ; Sass, Oliver ; Vacik, Harald:
Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests.
In: Applied Geography. Vol. 53 (2014) . - pp. 258-270.
ISSN 0143-6228
DOI: https://doi.org/10.1016/j.apgeog.2014.05.015

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Geomorphology > Chair Geomorphology - Univ.-Prof. Dr. Oliver Sass
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Geomorphology
Result of work at the UBT: No
DDC Subjects: 500 Science > 550 Earth sciences, geology
Date Deposited: 14 Feb 2019 13:09
Last Modified: 14 Feb 2019 13:09
URI: https://eref.uni-bayreuth.de/id/eprint/47360