Cased Based Reasoning in Business Process Management Design

Detalhes bibliográficos
Autor(a) principal: Tueschen, Philipp
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/121513
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Cased Based Reasoning in Business Process Management DesignArtificial IntelligenceBusiness Process Management NotationCase-Based ReasoningDesign Science ResearchGraph-Edit DistanceLearning by AnalogyXPDLDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementArtificial intelligence became increasingly useful since the 1990s, trying to imitate the human brain with its thinking, reasoning, and learning using the key concepts of machine learning, deep learning, and artificial neural networks. Case-based reasoning (CBR), another form of artificial intelligence, stores and retrieves past cases that can be adapted to find a solution to a current problem. The new solution can then be retained and made available to solve other future problems. Business Process Management (BPM) analyzes and optimizes business processes to make them more effective and efficient for an organization’s strategy to ultimately increasing shareholder value. CBR can help to support BPM, making better decisions with existing knowledge when solving process problems. This study investigates effectively store, retrieve, and adapt Business Process Management Notation (BPMN) solutions that best fit the underlying BPM problem using case-based reasoning as a tool. Therefore, a theoretical model was proposed, containing each CBR live cycle phase with different possible tools applied to BPMN diagrams, which was validated by expert interviews. This study concludes that a whole CBR life cycle can be applied to BPMN diagram problems with the need for human intervention. This work did not have the objective to solve the whole problem but to contribute to a possible solution by using CBR through a theoretical model.Santos, Vitor Manuel Pereira Duarte dosRUNTueschen, Philipp2021-07-23T16:59:27Z2021-07-082021-07-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/121513TID:202746674enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:03:49Zoai:run.unl.pt:10362/121513Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:40.653349Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cased Based Reasoning in Business Process Management Design
title Cased Based Reasoning in Business Process Management Design
spellingShingle Cased Based Reasoning in Business Process Management Design
Tueschen, Philipp
Artificial Intelligence
Business Process Management Notation
Case-Based Reasoning
Design Science Research
Graph-Edit Distance
Learning by Analogy
XPDL
title_short Cased Based Reasoning in Business Process Management Design
title_full Cased Based Reasoning in Business Process Management Design
title_fullStr Cased Based Reasoning in Business Process Management Design
title_full_unstemmed Cased Based Reasoning in Business Process Management Design
title_sort Cased Based Reasoning in Business Process Management Design
author Tueschen, Philipp
author_facet Tueschen, Philipp
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Tueschen, Philipp
dc.subject.por.fl_str_mv Artificial Intelligence
Business Process Management Notation
Case-Based Reasoning
Design Science Research
Graph-Edit Distance
Learning by Analogy
XPDL
topic Artificial Intelligence
Business Process Management Notation
Case-Based Reasoning
Design Science Research
Graph-Edit Distance
Learning by Analogy
XPDL
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2021
dc.date.none.fl_str_mv 2021-07-23T16:59:27Z
2021-07-08
2021-07-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/121513
TID:202746674
url http://hdl.handle.net/10362/121513
identifier_str_mv TID:202746674
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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