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Hypergraph Application on Business Process Performance
by
Bouafia, Khawla
, Molnár, Bálint
in
bipartite graph
/ BP models
/ Designers
/ generation and simulation BP data
/ Graph theory
/ Graphical representations
/ Graphs
/ hypergraph representation
/ hypergraph theory
/ Information systems
/ Languages
/ Modelling
/ patterns
/ Workflow
2021
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Hypergraph Application on Business Process Performance
by
Bouafia, Khawla
, Molnár, Bálint
in
bipartite graph
/ BP models
/ Designers
/ generation and simulation BP data
/ Graph theory
/ Graphical representations
/ Graphs
/ hypergraph representation
/ hypergraph theory
/ Information systems
/ Languages
/ Modelling
/ patterns
/ Workflow
2021
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Do you wish to request the book?
Hypergraph Application on Business Process Performance
by
Bouafia, Khawla
, Molnár, Bálint
in
bipartite graph
/ BP models
/ Designers
/ generation and simulation BP data
/ Graph theory
/ Graphical representations
/ Graphs
/ hypergraph representation
/ hypergraph theory
/ Information systems
/ Languages
/ Modelling
/ patterns
/ Workflow
2021
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Journal Article
Hypergraph Application on Business Process Performance
2021
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Overview
The modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In this work, we decided to use graph representation approaches, especially hypergraphs to depict the complex relationships that exist among the artifacts and constituents of BP for more efficient and accurate manipulations. We used bipartite and further hypergraph formats for storing and curating data. We have investigated the various descriptive languages and representation models of BP as process modeling, workflow and process integration, and object-oriented (OO) languages. We have carried out experiments using different approach combinations, but for observing quiltedrepresentation, we focused on the main consistencies of “DBP”. As the final approach, we used the “DBP” stream and data schemes that are defined by us to proceed with using pure Python for manually generating data and external Python libraries to store, curate, and visualize “DBP”.
Publisher
MDPI AG
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