Data-driven process discovery and analysis 8th IFIP WG 2. 6 International Symposium, SIMPDA 2018, Seville, Spain, December 13-14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised selected papers /: 8th IFIP WG 2. 6 International Symposium, SIMPDA 2018, Seville, Spain, December 13-14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised selected papers. (2020)

• Record Type: Book
• Other Titles: SIMPDA 2018; SIMPDA 2019
• Further Information: Note: Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López, editors.
• Other Names: Ceravolo, Paolo; Keulen, Maurice van; Gómez-López, María Teresa; SIMPDA (Symposium), 8th; SIMPDA (Symposium), 9th
• Contents: Intro -- Preface -- Organization -- Contents -- Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service -- Abstract -- 1 Introduction -- 2 Related Work -- 3 End to End Verifiability and Trust in HyperVote -- 4 HyperVote Process Centric Architecture -- 4.1 Vote Service Configurator (VSC) -- 4.2 Chaincode Catalogue (CC) -- 4.3 Hyperledger Configurator (HC) -- 4.4 Cloud Service Catalogue (CSC) -- 4.5 Cloud Deployer Orchestrator (CDO) -- 4.6 Match-Making Engine (MME) -- 4.7 Business Process Logs and Analytics -- 5 HyperVote Evaluation -- 6 Conclusion 7.3 Usability of the Approaches -- 7.4 Scalability of the Approach -- 7.5 Evaluation Using CRM Data -- 8 Conclusion -- References -- Standardizing Process-Data Exploitation by Means of a Process-Instance Metamodel -- 1 Introduction -- 2 Approach Overview and Contributions -- 2.1 Data Production Viewpoint -- 2.2 Data Consumption Viewpoint -- 3 Case Study -- 4 Process Instance Metamodel -- 4.1 Mapping the Metamodel and the Case Study Models -- 5 Proof of Concept Implementation -- 6 Related Work -- 6.1 Approaches that Consume Data for Reasoning -- 6.2 Approaches that Consume Data for Querying 6.3 Approaches that Consume Data for the Creation of Execution Traces -- 7 Conclusions and Further Work -- References -- Exploiting Event Log Event Attributes in RNN Based Prediction -- 1 Introduction -- 2 Related Work -- 3 Problem -- 4 Solution -- 4.1 Event Attributes -- 4.2 Formal Problem Definition -- 5 Test Framework -- 5.1 Training -- 5.2 Testing -- 6 Test Setup -- 7 Experiments -- 7.1 Threats to Validity -- 8 Conclusions -- References -- General Model for Tracking Manufacturing Products Using Graph Databases -- 1 Introduction -- 2 State-of-the-art 3 General Model for Tracking Manufacturing Products Using Graph Databases -- 3.1 Notation -- 3.2 Implementation -- 3.3 Use Cases -- 4 Discussion -- 5 Conclusions and Future Work -- References -- Supporting Confidentiality in Process Mining Using Abstraction and Encryption -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Process Mining -- 3.2 Discovering Social Networks -- 3.3 Cryptography -- 4 Problem Definition (Attack Analysis) -- 5 Approach -- 5.1 Internal Confidentiality Solution (ICS) -- 5.2 External Confidentiality Solution (ECS) -- 6 Evaluation -- 6.1 Correctness of the Approach
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (134 p.)
• Subjects: 006.3/12; Data mining -- Congresses; Management information systems -- Congresses; Business -- Data processing -- Congresses; Business -- Data processing; Data mining; Management information systems; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030466336; 3030466337
• Related ISBNs: 9783030466329
• Notes: Note: References -- Extracting Multiple Viewpoint Models from Relational Databases -- 1 Introduction -- 2 Related Work -- 2.1 Related Work: Extracting Event Data from Databases -- 2.2 Related Work: Representation of Artifact-Centric Models -- 2.3 Related Work: Discovery of Process Models Using Several Case Notions -- 3 Database Event Logs -- 4 Approach to Obtain MVP Models -- 5 Viewpoints: Retrieval of DFGs and Logs -- 5.1 Projection on a Directly-Follows Graph -- 5.2 Projection on a Log -- 6 Tool -- 7 Assessment -- 7.1 Comparison with Related Approaches -- 7.2 Evaluation of the Execution Time
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