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检索条件"丛书名=Lecture Notes in Business Information Processing"

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Building User Journey Games from Multi-party Event Logs

Building User Journey Games from Multi-party Event Logs

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4th International Conference on Process Mining (ICPM)

作者： Kobialka, Paul Mannhardt, Felix Tarifa, Silvia Lizeth Tapia Johnsen, Einar Broch Univ Oslo Oslo Norway Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9783031278143;9783031278150

To improve the user experience, service providers may systematically record and analyse user interactions with a service using event logs. User journeys model these interactions from the user's perspective. They can be understood as event logs created by two independent parties, the user and the service provider, both controlling their share of actions. We propose multi-party event logs as an extension of event logs with information on the parties, allowing user journeys to be analysed as weighted games between two players. To reduce the size of games for complex user journeys, we identify decision boundaries at which the outcome of the game is determined. Decision boundaries identify subgames that are equivalent to the full game with respect to the final outcome of user journeys. The decision boundary analysis from multi-party event logs has been implemented and evaluated on the BPI Challenge 2017 event log with promising results, and can be connected to existing process mining pipelines.

关键词： User journeys Event logs Weighted games Decision boundaries

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A Distributed Multi-key Generation Protocol with a New Complaint Management Strategy 19th

A Distributed Multi-key Generation Protocol with a New Compl...

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19th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Kalai, Rym Neji, Wafa Ben Rajeb, Narjes Univ Tunis El Manar LIPSIC Lab Fac Sci Tunis Tunis Tunisia Higher Inst Technol Studies Beja Gen Directorate Technol Studies LIPSIC Lab Beja Tunisia Univ Carthage Natl Inst Appl Sci & Technol LIPSIC Lab Tunis Tunisia

ISBN: (纸本)9783031306938;9783031306945

Privacy protection is a main goal in the majority of the Blockchain studies. However some dishonest users may abuse from the benefits of this property and the fact of not being identified to do illegal crimes. That is why several researches focus on implementing identity tracing to avoid the flaws related to privacy protection in Blockchain applications. In this paper, we propose a Distributed Multi-Key Generation (DMKG) protocol without private channels built on the DMKG protocol of the Blockchain Traceable Scheme with Oversight Function (BTSOF) presented in [8]. Our protocol introduces a new strategy to manage complaints between participants that avoids them to publicly reveal the values of their shares of secrets. This new management of complaints and the use of public channels allow a precise identification of malicious participants. We prove that our solution satisfies the security requirements of the Verifiable Multi-Secret Sharing (VMSS) schemes and DMKG protocols.

关键词： Distributed Multi-Key Generation (DMKG) Complaints' management strategy Multi-Secret Sharing (MSS)

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The RAI Way: A Technical Analysis and Design Method for Building Enterprise Semantic Layers 1

引用

35th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Stirewalt, R. E. K. Bur, Marton RelationalAl Inc Berkeley CA 94704 USA

ISBN: (数字)9783031349850

ISBN: (纸本)9783031349843;9783031349850

The enterprise-wide semantic layer is the Holy Grail of data management. Unlike a data lake or data warehouse, semantic layers promise to democratize access across an organization. Traditional implementations tailor to specific application domains and require significant upfront investment and development to associate semantics to the underlying data. In this paper, we present a new technical analysis and design method that standardizes and simplifies the development of enterprise semantic layers. Our approach provides semantics via an ontology that is modeled in the Object-Role Modeling language. The layer then conforms to this ontology and is populated by weaving source data from physical data assets into the ontology using a relational knowledge graph.

关键词： Knowledge graphs Semantic layer Data landscape Development methodology

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Security Risk Assessment of Blockchain-Based Patient Health Record Systems 19th

Security Risk Assessment of Blockchain-Based Patient Health ...

引用

19th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Al Barghuthi, Nedaa B. Said, Huwida E. Badi, Sulafa M. Girija, Shini Higher Coll Technol Sharjah U Arab Emirates Zayed Univ Dubai U Arab Emirates British Univ Dubai Dubai U Arab Emirates

ISBN: (纸本)9783031306938;9783031306945

Blockchain technology is receiving greater attention for enhancing the security of patient records systems;however, it is not a panacea, as many security risks have been found in these healthcare applications. This study conducts a state-of-the-art analysis of emerging risks in blockchain-based patient health record systems, their severity level, impact, and the corresponding countermeasures against them. In addition, we conclude our observations and indicate how blockchain security vulnerabilities may develop in the future. This study aims to promote more research on blockchain security challenges by offering researchers insights into future security and privacy developments in blockchain-based patient health record systems.

关键词： Blockchain Electronic health records (EHR) Patient health records (PHR) risks impact countermeasures privacy security

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A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education

A Combined Approach of Process Mining and Rule-Based AI for ...

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4th International Conference on Process Mining (ICPM)

作者： Wagner, Miriam Helal, Hayyan Roepke, Rene Judel, Sven Doveren, Jens Goerzen, Sergej Soudmand, Pouya Lakemeyer, Gerhard Schroeder, Ulrik van der Aalst, Wil M. P. Rhein Westfal TH Aachen PADS Aachen Germany Rhein Westfal TH Aachen Knowledge Based Syst Grp Aachen Germany Rhein Westfal TH Aachen Learning Technol Res Grp Aachen Germany

ISBN: (纸本)9783031278143;9783031278150

This paper presents an approach of using methods of process mining and rule-based artificial intelligence to analyze and understand study paths of students based on campus management system data and study program models. Process mining techniques are used to characterize successful study paths, as well as to detect and visualize deviations from expected plans. These insights are combined with recommendations and requirements of the corresponding study programs extracted from examination regulations. Here, event calculus and answer set programming are used to provide models of the study programs which support planning and conformance checking while providing feedback on possible study plan violations. In its combination, process mining and rule-based artificial intelligence are used to support study planning and monitoring by deriving rules and recommendations for guiding students to more suitable study paths with higher success rates. Two applications will be implemented, one for students and one for study program designers.

关键词： Educational Process Mining Conformance checking Rule-based AI Study planning Study monitoring

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Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in business Processes 24th

Beyond Temporal Dependency: An Ontology-Based Approach to Mo...

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24th International Working Conference on business Process Modeling, Development, and Support (BPMDS) / 28th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Andree, Kerstin Bano, Dorina Weske, Mathias Tech Univ Munich Heilbronn Germany Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9783031342400;9783031342417

Causality is an ubiquitous but elusive concept describing the relationship between cause and effect. In the context of business processes, it defines ontological, i.e., existential, and temporal dependencies between activities. Modeling languages define types of constraints and dependencies between activities. However, they mainly focus on the representation of the business process and the activity execution order without addressing the nature and type of activity interrelationships, i.e., its ontological profile. This paper proposes a new way of understanding activity relations through the fundamental distinction between temporal and ontological dependencies. Ten general types of activity interrelationships are derived covering all possible relationships between two activities in loop-free processes. They can be used as an aid in process redesign tasks, compliance checking, and to compare and analyze existing modeling approaches.

关键词： Causality business Process Modeling Ontological Dependence Activity Interrelationships

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Efficient Computation of Behavioral Changes in Declarative Process Models 24th

Efficient Computation of Behavioral Changes in Declarative P...

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作者： Schutzenmeier, Nicolai Corea, Carl Delfmann, Patrick Jablonski, Stefan Univ Bayreuth Inst Comp Sci Bayreuth Germany Univ Koblenz Inst IS Res Koblenz Germany

ISBN: (纸本)9783031342400;9783031342417

Modelling processes with declarative process models, i.e. sets of constraints, allows for a great degree of flexibility in process execution. However, having behavior specified by means of symbolic (textual) constraints comes along with the problem that it is often hard for humans to understand which exact behavior is allowed, and which is not (think for example of checking relationships between constraints). This becomes especially problematic when modellers need to carry out changes to a model. For example, a modeller must make sure that any alteration to a model does not introduce any unwanted or non-compliant behavior. As this is often difficult for humans, editing declarative process models currently bears the risk of (accidentally) inducing unforeseen compliance breaches due to some overlooked changes in behavior. In this work, we therefore present an approach to efficiently compute the behavioral changes between a declarative process model M and a corresponding (edited) model M'. This supports modellers in understanding the behavioral changes induced by an alteration to the constraints. We implement our approach and show that behavioral changes can be computed within milliseconds even for real-life data-sets.

关键词： Behavioral Changes Declare Re-Modelling Support

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Developing a Maturity Assessment Tool to Enable the Management of Artificial Intelligence for Organizations 1

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35th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Fukas, Philipp Bozkurt, Aydin Lenz, Nora Thomas, Oliver Osnabruck Univ Osnabruck Lower Saxony Germany German Res Ctr Artificial Intelligence Osnabruck Lower Saxony Germany Strateg GmbH Osnabruck Lower Saxony Germany

ISBN: (数字)9783031349850

ISBN: (纸本)9783031349843;9783031349850

Maturity Models (MMs) are a popular method to support information Technology (IT) management. In recent years, several industry-specific Artificial Intelligence (AI) MMs were developed to support AI Management as part of the IT management in organizations. While the development of these AI MMs follows widely standardized procedures and therefore is sufficiently addressed in scientific discourse, a lack of attention toward their practical application can be seen. Therefore, this paper proposes a technical prototype for a generic web-based maturity assessment tool for AI management. Overall, a design science-oriented research procedure with a Systematic Literature Review, the design of Graphical User Interfaces (GUIs), the development of aweb-based tool, and evaluations with CognitiveWalkthroughs and Personas are conducted. The results indicate that the development of a web tool is an innovative and promising way of applying AI MMs. This work contributes to the current body of knowledge in information Systems Engineering research by providing a first technical prototype for a webbased maturity assessment tool for AI Management.

关键词： Artificial Intelligence information Technology Management Maturity Model Graphical User Interface Design Science

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Cybersecurity and Data Quality in Cloud Computing: A Research Framework 19th

Cybersecurity and Data Quality in Cloud Computing: A Researc...

引用

19th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Xu, Hongjiang Butler Univ Sch Business 4600 Sunset Ave Indianapolis IN 46208 USA

ISBN: (纸本)9783031306938;9783031306945

In the cloud computing environment, cybersecurity and data quality capacities and vulnerabilities can have impact on could computing performance. Cloud computing resiliency addresses risks and capabilities in order to make cloud computing stronger and less susceptible to disruptions. Cloud computing provides many opportunities, however, it also presents some cybersecurity and data quality issues. In this paper, we propose a research framework for cybersecurity and data quality in the cloud computing environment.

关键词： Cybersecurity Cloud Computing Data Quality Risks Capabilities

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Deriving Event Logs from Legacy Software Systems

Deriving Event Logs from Legacy Software Systems

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4th International Conference on Process Mining (ICPM)

作者： Breitmayer, Marius Arnold, Lisa La Rocca, Stephan Reichert, Manfred Ulm Univ Inst Databases & Informat Syst Ulm Germany PITSS GmbH Stuttgart Stuttgart Germany

ISBN: (纸本)9783031278143;9783031278150

The modernization of legacy software systems is one of the key challenges in software industry, which requires comprehensive system analysis. In this context, process mining has proven to be useful for understanding the (business) processes implemented by the legacy software system. However, process mining algorithms are highly dependent on both the quality and existence of suitable event logs. In many scenarios, existing software systems (e.g., legacy applications) do not leverage process engines capable of producing such high-quality event logs, which hampers the application of process mining algorithms. Deriving suitable event log data from legacy software systems, therefore, constitutes a relevant task that fosters data-driven analysis approaches, including process mining, data-based process documentation, and process-centric software migration. This paper presents an approach for deriving event logs from legacy software systems by combining knowledge from source code and corresponding database operations. The goal is to identify relevant business objects as well as to document user and software interactions with them in an event log suitable for process mining.

关键词： Event log generation Legacy software system Software Modernization Process mining

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