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Matching of events and activities

Thomas Baier, Andreas Rogge-Solti, Jan Mendling, Mathias Weske
2015 Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15  
Thus, the goal of this thesis is to match events from an event log to activities in a given process model.  ...  Matching of events and activities -an approach based on behavioral constraint satisfaction.  ...  While we use linguistic information in the matching of events and activities, we furthermore make use of process descriptions to extend the available information about activities in the process model.  ... 
doi:10.1145/2695664.2699491 dblp:conf/sac/0001RMW15 fatcat:76un2bqmzzd6np2dhnfiwztgt4

Bridging abstraction layers in process mining

Thomas Baier, Jan Mendling, Mathias Weske
2014 Information Systems  
We use domain knowledge extracted from existing process documentation to semi-automatically match events and activities.  ...  This can lead to misinterpretation of discovered process models. We developed an approach that aims to abstract an event log to the same abstraction level that is needed by the business.  ...  While we use linguistic information in the matching of events and activities, we furthermore make use of process descriptions to extend the available information about activities in the process model.  ... 
doi:10.1016/j.is.2014.04.004 fatcat:qxuyu4euavhwvlwdcoydvqb73i

Process Mining Software Repositories

Wouter Poncin, Alexander Serebrenik, Mark van den Brand
2011 2011 15th European Conference on Software Maintenance and Reengineering  
The combination and matching of events has been implemented in FRASR (FRamework for Analyzing Software Repositories), augmenting the process mining framework ProM.  ...  However, in order for process mining to become applicable, different software repositories should be combined, and "related" software development events should be matched: e.g., mails sent about a file  ...  Process mining aims, therefore, at discovering the information about a process, based on the information about different process instances.  ... 
doi:10.1109/csmr.2011.5 dblp:conf/csmr/PoncinSB11 fatcat:va6h67wj3rbpbhmdmliznq5lty

Conformance Checking Using Cost-Based Fitness Analysis

A. Adriansyah, B.F. van Dongen, W.M.P. van der Aalst
2011 2011 IEEE 15th International Enterprise Distributed Object Computing Conference  
In this paper, we present a robust replay analysis technique that is able to measure the conformance of an event log for a given process model.  ...  Typically, such techniques are based on process models and assume that the operational processes in reality conform to these models.  ...  Such models are used to document business processes or to configure the information system.  ... 
doi:10.1109/edoc.2011.12 dblp:conf/edoc/AdriansyahDA11 fatcat:7x64gxs4krc2vplojiwc6o2i3e

Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm [article]

Gyunam Park, Minseok Song
2021 arXiv   pre-print
To validate the proposed method, we performed experiments using an artificial event log and a real-life event log from a global financial organization.  ...  Predictive business process monitoring aims at providing predictions about running instances by analyzing logs of completed cases in a business process.  ...  We generate an event log by simulating the process for seven days which will be used to construct a prediction model. The resulting log has 6,575 events and 1,000 instances.  ... 
arXiv:1910.05126v2 fatcat:j7o7qkluwrbhjlsxvhjh7msy44

A Schema Framework for Graph Event Data

Stefan Esser, Dirk Fahland, George Fletcher
2020 Zenodo  
The sequential event logs used in process mining today are bound to a single case notion for their events to relate.  ...  These multi-dimensional event data, generated by information systems, serve as source for the retrieval of event logs for process mining techniques.  ...  If one of the patterns used has a relationship type (Log) − [L E ]− > (Event), we can shorten the rule definition for the instance (based on the pattern) to |()−[: L E]− > (e ∈ N )| ≤ 1 since the information  ... 
doi:10.5281/zenodo.3820037 fatcat:rmu3ojqt5vhwxiyhisoq2c5nje

Multimodal Provenance-based Analysis of Collaboration in Business Processes

Maria Luiza Falci, Andréa Magalhães, Aline Paes, Vanessa Braganholo, Daniel De Oliveira
2021 Journal of Information and Data Management  
This approach focuses on identifying improvements that can be implemented in business processes, as well as in collaboration analysis using multimodal provenance data.  ...  MINERVA was evaluated through a feasibility study that used data from a consulting company.  ...  Traditionally, this type of analysis uses as input only event logs.  ... 
doi:10.5753/jidm.2021.1923 fatcat:7x7h4u6vgraqnkcxgph2nwj6aq

Matching events and activities by integrating behavioral aspects and label analysis

Thomas Baier, Claudio Di Ciccio, Jan Mendling, Mathias Weske
2017 Journal of Software and Systems Modeling  
These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources.  ...  These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10270-017-0603-z pmid:29706858 pmcid:PMC5910522 fatcat:qp7atfjzxrbdppdhhvkduqvbda

Provenance from log files

Devarshi Ghoshal, Beth Plale
2013 Proceedings of the Joint EDBT/ICDT 2013 Workshops on - EDBT '13  
information for what may or may not be complete provenance.  ...  As new data products of research increasingly become the product or output of complex processes, the lineage of the resulting products takes on greater importance as a description of the processes that  ...  Process mining [23] techniques are applied to business processes for process discovery, conformance checking and enhancement from a system's event logs using an XML-based standard for generating event  ... 
doi:10.1145/2457317.2457366 dblp:conf/edbt/GhoshalP13 fatcat:kpxq7f4d7vhe7obodego7j2npy

Towards a Natural Language Conversational Interface for Process Mining [chapter]

Luciana Barbieri, Edmundo Roberto Mauro Madeira, Kleber Stroeh, Wil M. P. van der Aalst
2022 Process Mining Workshops : ICPM 2021 International Workshops  
In order to democratize this technology and make process mining ubiquitous, we propose a conversational interface that allows non-technical professionals to retrieve relevant information about their processes  ...  In this work, we propose a reference architecture to support a conversational, process mining oriented interface to existing process mining tools.  ...  Likewise, we would like to thank Professors Sarajane Marques Peres and Marcelo Fantinato for helping us collect questions from their students for our dataset.  ... 
doi:10.18154/rwth-2022-04971 fatcat:7d3e6b2f4nhflcw2uyae3gmify

From Low-Level Events to Activities - A Pattern-Based Approach [chapter]

Felix Mannhardt, Massimiliano de Leoni, Hajo A. Reijers, Wil M. P. van der Aalst, Pieter J. Toussaint
2016 Lecture Notes in Computer Science  
We align the behavior of the abstraction model and the low-level event log (Sect. 3.3). 4. We create an abstracted event log using the alignment information (Sect. 3.4).  ...  Pattern-based Abstraction of Event Logs We present a method that takes an event log (E L , Σ L , # L , E L ) at a lower level of abstraction and transforms it to an event log (E H , Σ H , # H , E H ) at  ...  the matching error. event log took one hour using 6 GB of memory.  ... 
doi:10.1007/978-3-319-45348-4_8 fatcat:wanfheajibgndljnbppogsjnh4

From IHE Audit Trails to XES Event Logs Facilitating Process Mining

Ferdinand Paster, Emmanuel Helm
2015 Studies in Health Technology and Informatics  
Using the standardized audit trails provides the ability to apply these methods to all IHE based information systems.  ...  IHE, as a globally recognized basis for healthcare information systems, defines in its ATNA profile how real-world events must be recorded in centralized event logs.  ...  Previously MXML was used as an Extensible Markup Language (XML)-based format for log exchange.  ... 
pmid:25991098 fatcat:jrceien67fd4jj3erusrahpypa

Using Semantic Lifting for Improving Educational Process Models Discovery and Analysis

Awatef Hicheur Cairns, Joseph Assu Ondo, Billel Gueni, Mehdi Fhima, Marcel Schwarcfeld, Christian Joubert, Nasser Khelifa
2014 International Symposium on Data-Driven Process Discovery and Analysis  
Educational process mining is an emerging field in the educational data mining (EDM) discipline, concerned with discovering, analyzing, and improving educational processes based on information hidden in  ...  In this paper we show how by linking labels in event logs to their underlying semantics, we can bring educational processes discovery to the conceptual level.  ...  based on the labels in event logs [2] .  ... 
dblp:conf/simpda/CairnsOGFSJK14 fatcat:oxynjfnyz5eypak5ojqzqnwgxm

Integration of business process and organizational data for evidence-based business intelligence

Daniel Calegari, Andrea Delgado, Alexis Artus, Andrés Borges
2021 CLEI Electronic Journal  
First, we analyze data integration scenarios and data matching problems considering intra-organizational and inter-organizational collaborative business processes.  ...  Process data (e.g., cases, activity in- stances, and variables) is generally handled manually or implicit in information systems and coupled with organizational data without clear separation.  ...  In this case, we used PostgreSQL. We use the database log to match process and organizational data.  ... 
doi:10.19153/cleiej.24.2.7 fatcat:4aphcjllrfekpax6odkrqoqt6a

Monitoring of Business Processes with Complex Event Processing [chapter]

Susanne Bülow, Michael Backmann, Nico Herzberg, Thomas Hille, Andreas Meyer, Benjamin Ulm, Tsun Yin Wong, Mathias Weske
2014 Lecture Notes in Business Information Processing  
Event processing includes transformation for abstraction as well as correlation to process instances and BPMN elements.  ...  Business process monitoring enables a fast and specific overview of the process executions in an enterprise. Traditionally, this kind of monitoring requires a coherent event log.  ...  The Correlation Processor uses the defined Correlation Rules during runtime in order to group matching events to process instances.  ... 
doi:10.1007/978-3-319-06257-0_22 fatcat:tkeb5pjfvbc2zlwdqck7djem5u
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