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Start Over Descriptor "process querying" Topic conformance checking Topic process querying
5 results on '"process querying"'

1. Cortado: A dedicated process mining tool for interactive process discovery

Author

Daniel Schuster, Sebastiaan J. van Zelst, and Wil M.P. van der Aalst

Subjects
Process mining, Process discovery, Hybrid intelligence, Process querying, Conformance checking, Data visualization, Computer software, QA76.75-76.765
Abstract

Process discovery is an essential discipline within process mining, which deals with the data-driven generation of insights into operational processes. From event data that capture historical process executions, process discovery algorithms learn a process model describing the execution of the various activities involved. Such discovered models are crucial artifacts used by many process mining techniques. Most existing process discovery approaches can be classified as conventional—they function like a black-box approach and often learn models of poor quality from event data. Cortado is a software tool dedicated to interactive process discovery that lets users gradually learn process models from event data. Cortado leverages domain knowledge and insights extracted from data to develop process models in an interactive manner gradually. We describe Cortado’s architecture and functionalities that contribute to the overall goal of interactive process discovery.

Published
2023
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2. Process Mining Workshops

Author

Montali, Marco, Senderovich, Arik, and Weidlich, Matthias

Subjects
process mining, process discovery, process analytics, process querying, conformance checking, predictive process monitoring, data science, knowledge graphs, event data, streaming analytics, machine learning, deep learning, business process management, health informatics, thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining, thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning, thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics, thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
Abstract

This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

Published
2023
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3. IMPERATIVE MODELS TO DECLARATIVE CONSTRAINTS : Generating Control-Flow Constraints from Business Process Models

Author

Bergman Thörn, Arvid

Subjects
Process Mining, Datavetenskap (datalogi), Computer Sciences, Conformance checking, Imperative modelling, Business Process Management, Declarative constraints, Process querying
Abstract

In complex information systems, it is often crucial to evaluate whether a sequence of activities obtained from a system log complies with behavioural rules. This process of evaluation is called conformance checking, and the most classical approach to specifying the behavioural rules is in the form of flow chartlike process diagrams, e.g., in the Business Process Model and Notation (BPMN) language. Traditionally, control flow constraints are extracted using Petri net replay-based approaches. Though, with the use of industrial process query languages such as Signavio Analytics Language (SIGNAL) that allows for temporal row matching, the possibility of performing conformance checking using temporal constraints opens up. To this end, this thesis presents a parser for extracting control-flow objects from BPMN-based business process models and a compiler for generating both linear temporal logic-like rules as well as SIGNAL queries. The parser succeeds at parsing all industry models and most academic models; the exceptions in the latter case can presumably be traced back to edge cases and unidiomatic modelling. The constraints generated by the compiler are in some, but not in all cases, identical to constraints extracted via Petri net replay as an intermediate step, indicating some differences in the formal interpretation of BPMN control flow. In conclusion, the implementation and evaluation of the parser and compiler indicate that it is feasible to move directly from business user-oriented process models to declarative, query language-based constraints, cutting out the Petri net-replay middleman and hence facilitating elegant and more efficient process data querying.

Published
2023

4. Process Mining Workshops. ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers.

Author

Montali, Marco, Montali, Marco, Senderovich, Arik, and Weidlich, Matthias

Subjects
Business mathematics & systems, Data mining, Health & safety aspects of IT, Information technology: general issues, Machine learning, business process management, conformance checking, data science, deep learning, event data, health informatics, knowledge graphs, machine learning, predictive process monitoring, process analytics, process discovery, process mining, process querying, streaming analytics
Abstract

Summary: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23-28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: - 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) - 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) - 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) - 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) - 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) - 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) - 1st International Workshop on Education meets Process Mining (EduPM) - 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

5. Process Mining Workshops

Author

Munoz-Gama, Jorge and Lu, Xixi

Subjects
Process Mining, Process Discovery, Process Analytics, Process Querying, Conformance Checking, Predictive Process Monitoring, Data Science, Event Data, Streaming Analytics, Machine Learning, Decision Support Systems, Business Process Management, Information Systems, Petri Nets, Open Access, bic Book Industry Communication::U Computing & information technology::UN Databases::UNF Data mining, bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems, bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues
Abstract

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included.

Published
2022
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