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dc.contributor.authorKress, Markus*
dc.date.accessioned2021-02-11T16:26:31Z
dc.date.available2021-02-11T16:26:31Z
dc.date.issued2010*
dc.date.submitted2019-07-30 20:01:57*
dc.identifier34316*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/50426
dc.description.abstractThe company's sustainable competitive advantage derives from its capacity to create value for customers and to adapt the operational practices to changing situations. Business processes are the heart of each company. Therefore process excellence has become a key issue. This book introduces a novel approach focusing on the autonomous optimization of business processes by applying sophisticated machine learning techniques such as Relational Reinforcement Learning and Particle Swarm Optimization.*
dc.languageEnglish*
dc.subjectHF5001-6182*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategyen_US
dc.subject.otherProcess Flexibility*
dc.subject.otherBusiness Process Modeling*
dc.subject.otherRelational Reinforcement Learning*
dc.subject.otherOptimization*
dc.subject.otherParticle Swarm Optimization*
dc.titleIntelligent Business Process Optimization for the Service Industry*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000014466*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866444546*
oapen.pages310 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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