Discovery, visualization and performance analysis of enterprise workflow
type: Item
instance of: scholarly article
title: Discovery, visualization and performance analysis of enterprise workflow
zbMATH Open document ID: 1161.90429
author: Ping Zhang
author: Nicoleta Serban
published in: Computational Statistics and Data Analysis
publication date: 2009-05-29T00:00:00Z
Mathematics Subject Classification ID: 90B70
zbMATH DE Number: 5559432
zbMATH Keywords: business process rediscovery
zbMATH Keywords: data visualization
zbMATH Keywords: queueing system
zbMATH Keywords: mixture model
zbMATH Keywords: cure model
describes a project that uses: mclust
MaRDI profile type: Publication
full work available at URL: j.csda.2006.01.008
OpenAlex ID: W2010009212
cites work: The time-rescaling theorem and its application to neural spike train data analysis
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cites work: Heavy-Traffic Limits for Queues with Many Exponential Servers
cites work: A spike-train probability model
cites work: On semiparametric transformation cure models
cites work: Polynomial splines and their tensor products in extended linear modeling. (With discussions)
DOI: 10.1016/J.CSDA.2006.01.008
description: scientific article; zbMATH DE number 5559432