{"id":244167,"date":"2024-05-16T13:02:32","date_gmt":"2024-05-16T13:02:32","guid":{"rendered":"https:\/\/cyprusconferences.org\/caise2024\/?page_id=244167"},"modified":"2024-05-16T14:27:31","modified_gmt":"2024-05-16T14:27:31","slug":"main-conference","status":"publish","type":"page","link":"https:\/\/cyprusconferences.org\/caise2024\/main-conference\/","title":{"rendered":"Main Conference"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: left;\"><b>Accepted Papers &#8211; Main Conference<\/b><\/h1>\n<p>[\/et_pb_text][et_pb_divider _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; custom_margin=&#8221;||-16px|||&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221;][et_pb_column _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h4>&gt;&gt; Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes<\/h4>\n<p>Corinna Giebler, Christoph Gr\u00f6ger, Eva Hoos, Holger Schwarz and Bernhard Mitschang<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances<\/h4>\n<p>Keyvan Amiri Elyasi, Han van der Aa and Heiner Stuckenschmidt<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Towards a Comprehensive Evaluation of Decision Rules and Decision Mining Algorithms Beyond Accuracy<\/h4>\n<p>Beate Wais and Stefanie Rinderle-Ma<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Improving Requirement Traceability by Leveraging Video Game Simulations in Search-Based Software Engineering<\/h4>\n<p>Javier Ver\u00f3n, Ra\u00fal Lape\u00f1a, Carlos Cetina, \u00d3scar Pastor and Francisca P\u00e9rez<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt;\u00a0 Infonomics of Autonomous Digital Twins<\/h4>\n<p>Istvan David and Dominik Bork<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models<\/h4>\n<p>Syed Juned Ali and Dominik Bork<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; On the Flexibility of Declarative Process Specifications<\/h4>\n<p>Carl Corea, Paolo Felli, Marco Montali and Fabio Patrizi<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Towards learning the optimal sampling strategy for suffix prediction in predictive monitoring.<\/h4>\n<p>Efren Rama-Maneiro, Fabio Patrizi, Juan Vidal and Manuel Lama<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Model-based Recommendations for Next-best Actions in Knowledge-intensive Processes<\/h4>\n<p>Anjo Seidel, Stephan Haarmann and Mathias Weske<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Data friction: physics-inspired metaphor to evaluate the technical difficulties in trustworthy data sharing<\/h4>\n<p>Matteo Falconi, Giacomo Lombardo, Pierluigi Plebani and Sebastian Werner<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Improving Simplicity by Discovering Nested Groups in Declarative Models<\/h4>\n<p>Vlad Paul Cosma, Axel Kjeld Fjelrad Christfort, Thomas Hildebrandt, Xixi Lu, Hajo A. Reijers and Tijs Slaats<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Configuring and Validating Multi-aspect Risk Knowledge for Industry 4.0 Information Systems<\/h4>\n<p>Stefan Biffl, Sebastian Kropatschek, Kristof Meixner, David Hoffmann and Arndt L\u00fcder<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Assuring Runtime Quality Requirements for AI-based Components<\/h4>\n<p>Dan Chen, Jingwei Yang, Shuwei Huang and Lin Liu<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Stochastic Directly-Follows Process Discovery Using Grammatical Inference<\/h4>\n<p>Hanan Alkhammash, Artem Polyvyanyy and Alistair Moffat<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Enhancing Predictive Process Monitoring with Time-related Feature Engineering<\/h4>\n<p>Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior and Paolo Ceravolo<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Reinforcement Learning-based Streaming Process Discovery under Concept Drift<\/h4>\n<p>Rujian Cai, Chao Zheng, Jian Wang, Duantengchuan Li, Chong Wang and Bing Li<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Identifying Citizen-Related Issues From Social Media Using LLM-Based Data Augmentation<\/h4>\n<p>Vitor Gaboardi dos Santos, Guto Leoni Santos, Theo Lynn and Boualem Benatallah<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Kicking Prejudice: Large Language Models for Racism Classification in Football Discourse on Social Media<\/h4>\n<p>Guto Leoni Santos, Vitor Gaboardi Santos, Colm Kearns, Gary Sinclair, Jack Black, Mark Doidge, Tom Fletcher, Dan Kilvington, Patricia Takako Endo, Katie Liston and Theo Lynn<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Comparing MDD and CcD in the Bug Localization Context: An Empirical Evaluation in Video Games<\/h4>\n<p>Isis Roca, \u00c1frica Domingo, Oscar Pastor, Carlos Cetina and Lorena Arcega<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Stochastic Process Discovery: Can it be Done Optimally?<\/h4>\n<p>Sander J.J. Leemans, Tian Li, Marco Montali and Artem Polyvyanyy<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Improving Undestandability and Control in Data Preparation: A Human-centered Approach<\/h4>\n<p>Emanuele Pucci, Camilla Sancricca, Salvatore Andolina, Cinzia Cappiello, Maristella Matera and Anna Barberio<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Trusted Execution Environment for Decentralized Process Mining<\/h4>\n<p>Valerio Goretti, Davide Basile, Luca Barbaro and Claudio Di Ciccio<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Making Sense of Temporal Event Data: A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns<\/h4>\n<p>Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi and Sergio Tessaris<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives<\/h4>\n<p>Vinicius Stein Dani, Henrik Leopold, Jan Martijn E. M. van der Werf, Iris Beerepoot and Hajo A. Reijers<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; A Context-Aware Framework to Support Decision-Making in Production Planning<\/h4>\n<p>Simone Agostinelli, Dario Benvenuti, Angelo Casciani, Francesca De Luzi, Matteo Marinacci, Andrea Marrella and Jacopo Rossi<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Discovering Two-level Business Process Models from User Interface Event Logs<\/h4>\n<p>Irene Barba, Carmelo Del Valle, Andr\u00e9s Jim\u00e9nez-Ram\u00edrez, Barbara Weber and Manfred Reichert<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Towards a Multi-Model Paradigm for Business Process Management<\/h4>\n<p>Anti Alman, Fabrizio Maria Maggi, Stefanie Rinderle-Ma, Andrey Rivkin and Karolin Winter<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; HOEG: A New Approach for Object-Centric Predictive Process Monitoring<\/h4>\n<p>Tim K. Smit, Hajo A. Reijers and Xixi Lu<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Designing military command and control systems as System of Systems \u2013 an analysis of stakeholder needs and challenges<\/h4>\n<p>Jan Lundberg, Janis Stirna and Kent Andersson<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Object-Centric Conformance Alignments with Synchronization<\/h4>\n<p>Alessandro Gianola, Marco Montali and Sarah Winkler<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; A Model-Driven framework to support Portfolio Management under uncertainties<\/h4>\n<p>Clara Le Duff, Yohann Chasseray, Audrey Fertier, Rapha\u00ebl Falco, Anouck Adrot, Benoit Montreuil and Frederick Benaben<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Observability for Quantum Workflows in Heterogeneous Multi-Cloud Environments<\/h4>\n<p>Martin Beisel, Johanna Barzen, Frank Leymann, Lavinia Stiliadou and Benjamin Weder<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Variants of Variants: Context-Based Variant Analysis for Process Mining<\/h4>\n<p>Christoffer Rubensson, Jan Mendling and Matthias Weidlich<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Multi-Perspective Concept Drift Detection: Including the Actor Perspective<\/h4>\n<p>Eva Klijn, Felix Mannhardt and Dirk Fahland<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; Process Comparison based on Selection-projection Structures<\/h4>\n<p>Tobias Brockhoff, Merih Seran Uysal and Wil van der Aalst<\/p>\n<p>&nbsp;<\/p>\n<h4>&gt;&gt; The Power of Many: Securing Organisational Identity Through Distributed Key Management<\/h4>\n<p>Mariia Bakhtina, Jan Kvapil, Petr Svenda and Raimundas Matulevicius<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accepted Papers &#8211; Main Conference&gt;&gt; Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes Corinna Giebler, Christoph Gr\u00f6ger, Eva Hoos, Holger Schwarz and Bernhard Mitschang &nbsp; &gt;&gt; PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi, Han van der Aa and Heiner Stuckenschmidt &nbsp; &gt;&gt; Towards a Comprehensive Evaluation of Decision Rules and Decision Mining Algorithms Beyond Accuracy Beate Wais and Stefanie Rinderle-Ma &nbsp; &gt;&gt; Improving Requirement Traceability by Leveraging Video Game Simulations in Search-Based Software Engineering Javier Ver\u00f3n, Ra\u00fal Lape\u00f1a, Carlos Cetina, \u00d3scar Pastor and Francisca P\u00e9rez &nbsp; &gt;&gt;\u00a0 Infonomics of Autonomous Digital Twins Istvan David and Dominik Bork &nbsp; &gt;&gt; A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models Syed Juned Ali and Dominik Bork &nbsp; &gt;&gt; On the Flexibility of Declarative Process Specifications Carl Corea, Paolo Felli, Marco Montali and Fabio Patrizi &nbsp; &gt;&gt; Towards learning the optimal sampling strategy for suffix prediction in predictive monitoring. Efren Rama-Maneiro, Fabio Patrizi, Juan Vidal and Manuel Lama &nbsp; &gt;&gt; Model-based Recommendations for Next-best Actions in Knowledge-intensive Processes Anjo Seidel, Stephan Haarmann and Mathias Weske &nbsp; &gt;&gt; Data friction: physics-inspired metaphor to evaluate the technical difficulties in trustworthy data [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-244167","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/pages\/244167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/comments?post=244167"}],"version-history":[{"count":3,"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/pages\/244167\/revisions"}],"predecessor-version":[{"id":244174,"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/pages\/244167\/revisions\/244174"}],"wp:attachment":[{"href":"https:\/\/cyprusconferences.org\/caise2024\/wp-json\/wp\/v2\/media?parent=244167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}