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LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks

LSTM-Based Anomaly Detection of Process Instances: Benchmark...

引用

4th International Conference on Process Mining (ICPM)

作者： Lahann, Johannes Pfeiffer, Peter Fettke, Peter German Res Ctr Artificial Intelligence DFKI Saarbrucken Germany Saarland Univ Saarbrucken Germany

ISBN: (纸本)9783031278143;9783031278150

Anomaly detection can identify deviations in event logs and allows businesses to infer inconsistencies, bottlenecks, and optimization opportunities in their business processes. In recent years, various anomaly detection algorithms for business processes have been proposed based on either process discovery or machine learning algorithms. While there are apparent differences between machine learning and process discovery approaches, it is often unclear how they perform in comparison. Furthermore, deep learning research in other domains has shown that advancements did not solely come from improved model architecture but were often due to minor pre-processing and training procedure refinements. For this reason, this paper aims to set up a broad benchmark and establish a baseline for deep learning-based anomaly detection of process instances. To this end, we introduce a simple LSTM-based anomaly detector utilizing a collection of minor refinements and compare it with existing approaches. The results suggest that the proposed method can significantly outperform the existing approaches on a large number of event logs consistently.

关键词： business process management Anomaly detection Deep learning LSTM

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Exploring Capability Mapping as a Tool for Digital Transformation: Insights from a Case Study 24th

Exploring Capability Mapping as a Tool for Digital Transform...

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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： Van Riel, Jonas Poels, Geert Viaene, Stijn Univ Ghent Fac Econ & Business Adm Ghent Belgium CVAMO Core Lab Flanders Make UGent Ghent Belgium Katholieke Univ Leuven Fac Econ & Business Leuven Belgium Vlerick Business Sch Leuven Belgium

ISBN: (纸本)9783031342400;9783031342417

This study investigates how capability maps, an Enterprise Architecture artifact, can support digital transformation and for what purposes. Despite their potential, there is currently a lack of literature on the topic. The study uses the technique of a semi-structured interview in a case study to explore the role of capability mapping in planning and executing digital transformation. The results indicate that the practice of capability mapping can play a valuable role in different phases of digital transformation. The study also provides relevant insights for organizations looking to leverage capability maps as a tool for improving their digital transformation initiatives. This is realized by describing use cases derived from the case study.

关键词： Capability Mapping Digital Transformation business Capabilities Enterprise Architecture

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The Factors of Enterprise business Architecture Readiness in Organisations 24th

The Factors of Enterprise Business Architecture Readiness in...

引用

24th International Conference on Enterprise information Systems (ICEIS)

作者： Iyamu, Tiko Shaanika, Irja Cape Peninsula Univ Technol Fac Informat & Design Cape Town South Africa Namibia Univ Sci & Technol Dept Informat Windhoek Namibia

ISBN: (纸本)9783031393853;9783031393860

Before the deployment of enterprise business architecture (EBA), readiness assessment is often not conducted. Lack of readiness assessment results to fear and lack of know-how in the deployment and practice of the concept, and factors of influence are unknown. Consequently, the deployment and practices of the concept remain slow, despite the growing interest from both academics and enterprises. This chapter, through the case study approach, using five organisations, examines the factors that influence the readiness of EBA in organisations. The interpretivist approach was employed in the study and the hermeneutics approach is followed in the analysis.

关键词： business architecture Readiness assessment

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Modelling Software Tasks for Supporting Resource-Driven Adaptation 24th

Modelling Software Tasks for Supporting Resource-Driven Adap...

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24th International Conference on Enterprise information Systems (ICEIS)

作者： Akiki, Paul A. Zisman, Andrea Bennaceur, Amel Notre Dame Univ Louaize Dept Comp Sci Zouk Mosbeh Lebanon Open Univ Sch Comp & Commun Milton Keynes Bucks England

ISBN: (纸本)9783031393853;9783031393860

Software systems execute tasks that depend on different types of resources. The variability of resources hinders the ability of software systems to execute important tasks. For example, in automated warehouses, malfunctioning robots could delay product deliveries and cause financial losses due to customer dissatisfaction. Resource-driven adaptation addresses the negative implications of resource variability. Hence, this paper presents a task modelling notation called SERIES, which is used for representing task models that support resource-driven adaptation in software systems. SERIES is complemented by a tool that enables software practitioners to create and modify task models. SERIES was evaluated through a study with software practitioners. The participants of this study were asked to explain and create task models and then provide their feedback on the usability of SERIES and the clarity of its semantic constructs. The results showed a very good user performance in explaining and creating task models using SERIES. These results were reflected in the feedback of the participants and the activities that they performed using SERIES.

关键词： Task modelling notation Resource-driven adaptation

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Cicero: An AI-Based Writing Assistant for Legal Users 1

引用

35th CAiSE Conference on Cyber-Human Systems

作者： De Luzi, Francesca Macri, Mattia Mecella, Massimo Mencattini, Tommaso Sapienza Univ Roma Rome Italy

ISBN: (数字)9783031346743

ISBN: (纸本)9783031346736;9783031346743

This paper presents the problem statement and the research approach on an Italian project in the field of e-justice. We present the motivation and methodology for the application of an automatic writing assistant pipeline to Italian civil cases. The proposed solution is based on fine-tuning a transformer on a pre-processed corpus of Italian civil judgments. The resulting language model may be deployed as a writing assistant for legal users, in order to improve the efficiency of text writing, or further fine-tuned to be deployed in other law-related NLP tasks.

关键词： e-justice legal text generation language models

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Applying Predictive Analytics Algorithms to Support Sales Volume Forecasting 19th

Applying Predictive Analytics Algorithms to Support Sales Vo...

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

作者： Mayer, Joerg H. Meinecke, Milena Quick, Reiner Kusterer, Frank Kessler, Patrick Tech Univ Darmstadt Hsch Str 1 D-64289 Darmstadt Germany UE Univ Europe Appl Sci Reiterweg 26B D-58636 Iserlohn Germany WILO SE Wilopk 1 D-44263 Dortmund Germany

ISBN: (纸本)9783031306938;9783031306945

Caompanies struggle with predictive analytics (PA), which aims to be a "modern" crystal ball. But how does one choose the "right" algorithms? Based on the findings from a sales volume forecasting case study, this article presents six design guidelines on how to apply PA algorithms properly: (1) When fixing the objective of your forecast, start with reflecting the available data. (2) Considering the available data and forecast horizon, develop a strategy for the training phase, ultimately the model's deployment. (3) Choose algorithms first that act as an orientation as well as a benchmark for more elaborated models. (4) Continue with time series algorithms such as (S)ARIMA and Holt-Winters. Take automated parameter setting into consideration. (5) Integrate additional input by applying ML-based algorithms such as LASSO Regression. (6) Besides accuracy, process efficiency and transparency determine the most suitable approaches.

关键词： Forecasting Predictive Analytics Artificial Intelligence Machine Learning Design Science Research in information Systems Design Guidelines Case Study: Manufacturing Industry

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Towards Crisis Response and Intervention Using Knowledge Graphs - CRISP Case Study 1

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

作者： Anjomshoaa, Amin Schuster, Hannah Wachs, Johannes Polleres, Axel Vienna Univ Econ & Business A-1020 Vienna Austria Complex Sci Hub Vienna A-1080 Vienna Austria

ISBN: (数字)9783031349850

ISBN: (纸本)9783031349843;9783031349850

Data plays a critical role in crisis response and intervention efforts by providing decision-makers with timely, accurate, and actionable information. During a crisis, data can help organizations and crisis managers identify the most affected populations, track the spread of the crisis, and monitor the effectiveness of their response efforts. We introduce the CRISP Knowledge Graph, constructed from various data resources provided by different stakeholders involved in crisis and disaster management, which presents a uniform view of infrastructure, networks, and services pertinent to crisis management use cases. We also present preliminary results for network and infrastructure analysis which demonstrate how the CRISP KG can address the requirements of crisis management and urban resilience scenarios.

关键词： Knowledge graphs Crisis management Urban Resilience

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EduCert - Blockchain-Based Management information System for Issuing and Validating Academic Certificates 19th

EduCert - Blockchain-Based Management Information System for...

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

作者： Melim, Diogo Trigo, Antonio ISCAC Coimbra Business Sch Res Ctr Polytech Coimbra P-3045601 Coimbra Portugal Univ Minho Ctr ALGORITMI P-4804533 Guimaraes Portugal

ISBN: (纸本)9783031306938;9783031306945

The forgery of academic certificates is a global concern, being one of the best-known examples the case of fake doctors. This counterfeiting is facilitated because the validation of these certificates by the employers is, in most cases, through visual inspection of the certificates which, by itself, does not guarantee their veracity. In this sense, this work proposes a new certification approach based on blockchain technology that allows anyone to validate an academic certificate by placing the hash or the pdf of the academic certificate in a web application that performs this validation in a public blockchain network, without the need to authenticate.

关键词： Blockchain Authentication Certification Academic Degree Diplomas Higher Education Forgery

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An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware information Systems 1

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35th CAiSE Conference on Cyber-Human Systems

作者： Scheibel, Beate Rinderle-Ma, Stefanie Univ Vienna Res Grp Workflow Syst & Technol Fac Comp Sci Vienna Austria Univ Vienna UniVie Doctoral Sch Comp Sci DoCS Vienna Austria Tech Univ Munich TUM Sch Computat Informat & Technol Garching Germany

ISBN: (数字)9783031346743

ISBN: (纸本)9783031346736;9783031346743

Decision mining enables the discovery of decision rules from event logs or streams, and constitutes an important part of in-depth analysis and optimisation of business processes. So far, decision mining has been merely applied in an ex-post way resulting in a snapshot of decision rules for the given chunk of log data. Online decision mining, by contrast, enables continuous monitoring of decision rule evolution and decision drift. Hence this paper presents an end-to-end approach for discovery as well as monitoring of decision points and the corresponding decision rules during runtime, bridging the gap between online control flow discovery and decision mining. The approach is evaluated for feasibility and applicability on four synthetic and one real-life data set.

关键词： Online systems

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TEC-MAP: A Taxonomy of Evaluation Criteria for Multi-modelling Approaches 24th

TEC-MAP: A Taxonomy of Evaluation Criteria for Multi-modelli...

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作者： Verbruggen, Charlotte Snoeck, Monique Katholieke Univ Leuven Res Ctr Informat Syst Engn Naamsestr 69 B-3000 Leuven Belgium

ISBN: (纸本)9783031342400;9783031342417

Over the last fifteen years, various frameworks for data-aware process modelling have been proposed, several of which provide a set of evaluation criteria but which differ in their focus, the terminology used, the level of detail used to describe their criteria and how these are evaluated. In addition, there are well-established evaluation frameworks of a more general nature that can be applied to data-centric process modelling too. A comprehensive and unbiased evaluation framework for (multi-)modelling approaches that also caters for more general aspects such as understandability, ease of use, model quality, etc., does not yet exist and is therefore the research gap addressed in this paper. This paper addresses this gap by using existing evaluation frameworks and developing a taxonomy that is used to categorise all the criteria from existing evaluation frameworks. The results are then discussed and related to the challenges and concerns identified by practitioners.

关键词： data-centric process modelling taxonomy evaluation framework

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