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LIFT: Learning Fault Trees from Observational Data

First Author: Nauta M

Attributed to: SUCCESS -- SecUre aCCESSibility for the internet of things funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-319-99154-2_19

Publication URI: http://dx.doi.org/10.1007/978-3-319-99154-2_19

Type: Book Chapter

Book Title: Quantitative Evaluation of Systems - 15th International Conference, QEST 2018, Beijing, China, September 4-7, 2018, Proceedings (2018)

Page Reference: 306-322

ISSN: 2731-6963