Visbiz : a business process visualization case study


Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

HAO, Ming C., Daniel A. KEIM, Umeshwar DAYAL, Joern SCHNEIDEWIND, 2005. Visbiz : a business process visualization case study. Eurovis 2005. Leeds, United Kingdom, 1. Jun 2005 - 3. Jun 2005. In: BRODLIE, Ken, ed. and others. EUROVIS 2005 : Eurographics, IEEE VGTC Symposium on Visualization, Leeds, United Kingdom, June 1st-3rd, 2005. Aire-la-Ville:Eurographics Association Aire-la-Ville, pp. 109-116. ISSN 1727-5296. ISBN 3-905673-19-3. Available under: doi: 10.2312/VisSym/EuroVis05/109-116

@inproceedings{Hao2005Visbi-40815, title={Visbiz : a business process visualization case study}, year={2005}, doi={10.2312/VisSym/EuroVis05/109-116}, isbn={3-905673-19-3}, issn={1727-5296}, address={Aire-la-Ville}, publisher={Eurographics Association Aire-la-Ville}, booktitle={EUROVIS 2005 : Eurographics, IEEE VGTC Symposium on Visualization, Leeds, United Kingdom, June 1st-3rd, 2005}, pages={109--116}, editor={Brodlie, Ken}, author={Hao, Ming C. and Keim, Daniel A. and Dayal, Umeshwar and Schneidewind, Joern} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Schneidewind, Joern</dc:creator> <dc:creator>Dayal, Umeshwar</dc:creator> <dc:contributor>Schneidewind, Joern</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <bibo:uri rdf:resource=""/> <dcterms:available rdf:datatype="">2017-12-01T09:39:03Z</dcterms:available> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:isPartOf rdf:resource=""/> <dcterms:title>Visbiz : a business process visualization case study</dcterms:title> <dcterms:issued>2005</dcterms:issued> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:contributor>Hao, Ming C.</dc:contributor> <dcterms:abstract xml:lang="eng">Business process management involves many parameters and relationships and is modeled as complex business process workflows. A common way to analyze the process data is by using flowcharts. Visual analysis of a largescale chart, however, is too complex. In this case study, we employ a novel visualization technique, called VisBiz. VisBiz reduces data complexity by automatically analyzing operational data and abstracting the most critical parameters that influence business process. The basic idea is to select the most relevant parameters and layout them on a "triple-attributes" circular graph based on their relationships and user domain knowledge. VizBiz transforms the attributes to nodes and the process flows to lines. VisBiz derives a new process flow matrix to link the process of multiple circular graphs as the analyst introduces more parameters for further analysis. The results of the real-world credit card fraud study show the significant advantages of this technique in finding fraud distribution patterns and root causes of frauds.</dcterms:abstract> <dc:creator>Hao, Ming C.</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:date rdf:datatype="">2017-12-01T09:39:03Z</dc:date> <dc:contributor>Dayal, Umeshwar</dc:contributor> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Mein Benutzerkonto