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020 _a9783030494353
_9978-3-030-49435-3
024 7 _a10.1007/978-3-030-49435-3
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUX
_2thema
082 0 4 _a005.3
_223
245 1 0 _aAdvanced Information Systems Engineering
_h[electronic resource] :
_b32nd International Conference, CAiSE 2020, Grenoble, France, June 8-12, 2020, Proceedings /
_cedited by Schahram Dustdar, Eric Yu, Camille Salinesi, Dominique Rieu, Vik Pant.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXIV, 574 p. 286 illus., 102 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v12127
505 0 _aDistributed Applications -- Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering -- Decentralized Cross-Organizational Application Deployment Automation: An Approach for Generating Deployment Choreogrpahies Based on Declarative Deployment Models -- Modeling and Analyzing Architectural Diversity of Open Platforms -- Co-destruction Patterns in Crowdsourcing -- Information Systems Engineering with Digital Shadows: Concept and Case Studies -- Model-Driven Development of a Digital Twin for Injection Molding -- SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things -- -MERODE: A Model-Driven Engineering and Artifact-Centric Approach to Generate Blockchain-Based Information Systems -- Smart Contract Invocation Protocol (SCIP): A Protocol for the Uniform Integration of Heterogenous Blockchain Smart Contracts -- AI and Big Data in IS -- A System Framework for Personalized and Transparent Data-Driven Decisions -- Online Reinforcement Learning for Self-Adaptive Information Systems -- Aspect Term Extraction using Deep Learning Modle with Minimal Feature Engineering -- State Machine based Human-Bot Conversatoin Model and Services -- Process Mining and Analysis -- Stochastic-Aware Conformance Checking: An Entropy-Based Approach -- Conformance Checking Approximation using Subset Selection and Edit Distance -- Quantifying the Re-identification Risk of Event Logs for Process Mining -- An Approach for Process Model Extraction by Multi-Grained Text Classification -- LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring -- Business Process Variant Analysis based on Mutual Fingerprints of Event Logs -- DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks -- Workforce Upskilling: a History-Based Approach for Recommending Unfamiliar Process Activities -- Requirements and Modeling -- Evaluating the Benefits of Model-Driven Development -- Workarounds inBusiness Processes: a Goal-based Analysis -- Digging into Business Process Meta-models: A First Ontological Analysis -- Minign User Opinions to Support Requirement Engineering: An Empirical Study -- Designing Patterns for Certification Standards -- Information Extraction and Graph Representation for the Design of Formulated Products -- Information Systems Engineering -- Resource-based Adaptive Robotic Process Automation -- A Variability-Driven Analysis Method for Automatic Extraction of Domain Behaviors -- Mutation Operators for Large Scale Data Processing Programs in Spark -- Recommendation for Evolving Relational Databases -- A Combined Method for Usage of NLP Libraries towards Analyzing Software Documents -- Query-based Metrics for Evaluating and Comparing Document Schemas -- Invited Keynote -- Data Sovereignty and the Internet of Production.
520 _aThis book constitutes the refereed proceedings of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, held in Grenoble, France, in June 2020.* The 33 full papers presented in this volume were carefully reviewed and selected from 185 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: distributed applications; AI and big data in IS; process mining and analysis; requirements and modeling; and information systems engineering. Abstracts on the CAiSE 2020 tutorials can be found in the back matter of the volume. *The conference was held virtually due to the COVID-19 pandemic.
650 0 _aApplication software.
_995786
650 0 _aArtificial intelligence.
_93407
650 0 _aSoftware engineering.
_94138
650 0 _aElectronic commerce.
_95589
650 0 _aInformation technology
_xManagement.
_95368
650 1 4 _aComputer and Information Systems Applications.
_995788
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aSoftware Engineering.
_94138
650 2 4 _ae-Commerce and e-Business.
_931772
650 2 4 _aBusiness Process Management.
_937129
700 1 _aDustdar, Schahram.
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700 1 _aYu, Eric.
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700 1 _aSalinesi, Camille.
_eeditor.
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700 1 _aRieu, Dominique.
_eeditor.
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_995795
700 1 _aPant, Vik.
_eeditor.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030494346
776 0 8 _iPrinted edition:
_z9783030494360
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v12127
_995800
856 4 0 _uhttps://doi.org/10.1007/978-3-030-49435-3
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