Data-driven modelling and probabilistic analysis of interactive software usage
type: Item
instance of: scholarly article
title: Data-driven modelling and probabilistic analysis of interactive software usage
zbMATH Open document ID: 1400.68061
author: Oana Andrei
author: M. Calder
published in: Journal of Logical and Algebraic Methods in Programming
publication date: 2018-10-01T00:00:00Z
Mathematics Subject Classification ID: 68N99
zbMATH DE Number: 6945954
zbMATH Keywords: interactive software
zbMATH Keywords: log analysis
zbMATH Keywords: usage behaviour
zbMATH Keywords: admixture models
zbMATH Keywords: latent variables
zbMATH Keywords: probabilistic model checking
describes a project that uses: PRISM
describes a project that uses: PGM_PyLib
describes a project that uses: PMTK
MaRDI profile type: Publication
full work available at URL: j.jlamp.2018.07.003
OpenAlex ID: W2869357022
cites work: Q5322945
cites work: Machine learning. A probabilistic perspective
cites work: Probabilistic graphical models. Principles and applications
cites work: Q4139463
cites work: Formal Techniques for Networked and Distributed Systems - FORTE 2005
DOI: 10.1016/J.JLAMP.2018.07.003
description: scientific article; zbMATH DE number 6945954