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 / Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López, editors
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
Summary
This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, held in Seville, Spain, on December 13-14, 2018, and SIMPDA 2019, held in Bled, Slovenia, on September 8, 2019. From 16 submissions received for SIMPDA 2018 and 9 submissions received for SIMPDA 2019, 3 papers each were carefully reviewed and selected for presentation in this volume. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application
Bibliography
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
