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Simplifying Mined Process Models: An Approach Based on Unfoldings
[chapter]
2011
Lecture Notes in Computer Science
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This paper presents a post-processing approach to simplify discovered process models while controlling the balance between overfitting and underfitting. ...
Process models discovered using process mining tend to be complex and have problems balancing between overfitting and underfitting. ...
Fig. 3 . 3 The hospital process (Fig. 1) discovered by [10] (left) can be simplified (right).
Fig. 4 . 4 Overview on the approach to simplify mined process models. ...
doi:10.1007/978-3-642-23059-2_27
fatcat:xwfoo5b7dfcnzm2zruijbewyki
Log-Based Simplification of Process Models
[chapter]
2015
Lecture Notes in Computer Science
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This paper presents a collection of log-based techniques to simplify process models. ...
A tool has been developed and tested on large logs, producing simplified process models that are one order of magnitude smaller while keeping fitness and precision under reasonable margins. ...
Process discovery is one of the most important disciplines in process mining, concerned with learning a process model (e.g., a Petri net) from an event log. ...
doi:10.1007/978-3-319-23063-4_30
fatcat:q2x3m5qnije6fgmpetmnntcf5u
Simplifying discovered process models in a controlled manner
2013
Information Systems
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This paper presents a post-processing approach to simplify discovered process models while controlling the balance between overfitting and underfitting. ...
Process models discovered from a process log using process mining tend to be complex and have problems balancing between overfitting and underfitting. ...
For example, it is not possible to unfold a net based on an event log that does not match the model. ...
doi:10.1016/j.is.2012.07.004
fatcat:7oxvt6qu6bduzltcwftrjumypm
Process Mining Reloaded: Event Structures as a Unified Representation of Process Models and Event Logs
[chapter]
2015
Lecture Notes in Computer Science
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In this paper we advocate a foundational approach to process mining based on a well-known model of concurrency, namely event structures. ...
We then sketch how process mining operations, specifically automated process discovery, conformance checking and deviance mining, can be recast as operations on event structures. ...
In this paper we advocate a foundational approach to process mining based on a well-known model of concurrency, namely event structures [4] . ...
doi:10.1007/978-3-319-19488-2_2
fatcat:wxqz5uemu5bmlomkbavvpvgtty
Discovering Redundant Activities in Event Logs for the Simplification of Process Models
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2103.10683v2 fatcat:wcjhvaymenhv7kwr72jmxuby6yOther Versions
Process mining acts as a valuable tool to analyse the behaviour of an organisation by offering techniques to discover, monitor and enhance real processes. ...
Our approach can be adopted as a preprocessing step before applying any discovery algorithms to produce simplify models. ...
The aim of this paper is to present an approach to simplify discovered process models by detecting and integrating redundant activities in event logs. ...
arXiv:2103.10683v3
fatcat:qog32at2ovdwfl2tmahejnu57i
Visual Model Validation via Inline Replication
[article]
2016
arXiv
pre-print
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Data visualizations typically show retrospective views of an existing dataset with little or no focus on repeatability. ...
This "visual predictive model" approach, however, can lead to invalid inferences. ...
" models based on poor representations of the underlying process. ...
arXiv:1605.08749v1
fatcat:rz4tvv2du5hd3fazii5r2ujije
Automated model grouping
2010
Proceedings of the IEEE/ACM international conference on Automated software engineering - ASE '10
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In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. ...
A tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. ...
According to Gomes et al. in [9] reuse on design level is more important than reuse on code level. They present an approach for reusing UML models based on Case Based Rea-soning (CBR, [1] ). ...
doi:10.1145/1858996.1859096
dblp:conf/kbse/BeckerG10
fatcat:nyyfe6s5lffexe2yq5harfju7e
Maximal Structuring of Acyclic Process Models
2012
Computer journal
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We propose a structural classification for process models based on the properties of its parse tree. ...
Alternatively, unstructured models can result from model synthesis techniques such as process mining [24] ; structuring can then be applied to improve the readability of the mined models. ...
doi:10.1093/comjnl/bxs126
fatcat:qm3jwnqb6be4hnrrtfuyru5by4
SENTIMENT ANALYSIS AND PREDICATION MODEL
2020
International Journal of Engineering Applied Sciences and Technology
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The results show that an emoji analytical accomplishes well compared to emoticon-or hashtag-based analytics. ...
Sentiment analysis on social media is a crucial a part of today's need for operation. ...
We can use wrapping libraries and also create deep learning models which simplify the process of it. ...
doi:10.33564/ijeast.2020.v05i02.030
fatcat:325jeg7lhbgvno277qqoxhbwza
Explainable AI Enabled Inspection of Business Process Prediction Models
[article]
2021
arXiv
pre-print
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In this paper, we aim to present an approach that allows us to use model explanations to investigate certain reasoning applied by machine learned predictions and detect potential issues with the underlying ...
methods thus enhancing trust in business process prediction models. ...
conduct experiments of model inspection on selected business process prediction models. ...
arXiv:2107.09767v1
fatcat:wbul7gspt5cdngxtqbpurfsoni
Enriching Process Models for Business Process Compliance Checking in ERP Environments
[chapter]
2013
Lecture Notes in Computer Science
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Current compliance checking approaches neglect such information as it is not readily available in process models. ...
The method consists of three phases: process model construction, automated analysis of ACs, and model enrichment. ...
Process mining facilitates full audits (instead of sample based) of business processes in an effective way based on data recorded independently of the auditee [39] . ...
doi:10.1007/978-3-642-38827-9_9
fatcat:oe3x2cse2fdn3ezyawak3fhsqe
A Quantitative Approach for Intrusions Detection and Prevention based on Statistical N-Gram Models
2012
Procedia Computer Science
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In this paper we propose a new, quantitative-based approach for the detection and the prevention of intrusions. ...
Our model is able to probabilistically predict attacks before their completion by using a quantitative Markov model built from a corpus of network traffic collected on a honeypot. ...
Researches were then directed to data mining-based approaches to automate the process of data analysis. ...
doi:10.1016/j.procs.2012.06.058
fatcat:r3tunfnv7jcqhluxhdyiaba5vm
Controlled automated discovery of collections of business process models
2014
Information Systems
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This leads to a collection of process models -each one representing a variant of the business process -as opposed to an all-encompassing model. ...
In previous work, trace clustering has been applied in an attempt to reduce the size and complexity of automatically discovered process models. ...
Given that SMD uses a top-down (breadth-first search) approach to traverse or unfold a dendrogram, there is an opportunity to parallelize the processing of sibling nodes at each level of the breadth-first ...
doi:10.1016/j.is.2014.04.006
fatcat:mzkpn7neq5e2doiu7qmfgjjjgi
A seismic modelling environment as a research and teaching tool for 3-D subsurface modelling
2000
International Journal of Applied Earth Observation and Geoinformation
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Computer modelling has automated this task to a certain degree, but traditional approaches do not allow iterative validation during the modelling process. ...
SME offers a novel approach to interactive 3-D modelling of complex geological structures using an extension of sweep representations and user-controlled forward modelling with seismic analysis for validation ...
During a 40-minute practical that followed, the users were required to model a 3-D structure loosely based on Vredefort. ...
doi:10.1016/s0303-2434(00)85001-1
fatcat:63xmtxjcbnfnjfloxd2mwwo7ca
Facilitating insight into a simulation model using visualization and dynamic model previews
2012
Journal of Visual Languages and Computing
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This paper shows how model simplification, by replacing iterative steps with unitary predictive equations, can enable dynamic interaction with a complex simulation process. ...
Model previews extend the techniques of dynamic querying and query previews into the context of ad hoc simulation model exploration. ...
Finally, an insight evaluation based on North's proposed methodology [9] is presented. ...
doi:10.1016/j.jvlc.2012.08.001
fatcat:eiagign6bjfdxls6yt2mgdvcoq
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