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Simplifying Mined Process Models: An Approach Based on Unfoldings [chapter]

Dirk Fahland, Wil M. P. van der Aalst
2011 Lecture Notes in Computer Science  
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]

Javier De San Pedro, Josep Carmona, Jordi Cortadella
2015 Lecture Notes in Computer Science  
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

Dirk Fahland, Wil M.P. van der Aalst
2013 Information Systems  
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]

Marlon Dumas, Luciano García-Bañuelos
2015 Lecture Notes in Computer Science  
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]

Qifan Chen, Yang Lu, Simon Poon
2021 arXiv   pre-print
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]

David Gotz, Brandon A. Price, Annie T. Chen
2016 arXiv   pre-print
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

Michael Becker, Volker Gruhn
2010 Proceedings of the IEEE/ACM international conference on Automated software engineering - ASE '10  
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

A. Polyvyanyy, L. Garcia-Banuelos, D. Fahland, M. Weske
2012 Computer journal  
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

Vaishnavi Vats, Parth Garg, Vishwajeet Singh, Shikhar Yadav
2020 International Journal of Engineering Applied Sciences and Technology  
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]

Chun Ouyang, Renuka Sindhgatta, Catarina Moreira
2021 arXiv   pre-print
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]

Martin Schultz
2013 Lecture Notes in Computer Science  
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

Ammar Boulaiche, Hatem Bouzayani, Kamel Adi
2012 Procedia Computer Science  
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

Luciano García-Bañuelos, Marlon Dumas, Marcello La Rosa, Jochen De Weerdt, Chathura C. Ekanayake
2014 Information Systems  
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

Dennis J Burford, Larry Ger, Edwin H Blake, Maarten J de Wit, C Moctar Doucouré, Roger J Hart
2000 International Journal of Applied Earth Observation and Geoinformation  
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

Joost de Folter, Timothy Cribbin
2012 Journal of Visual Languages and Computing  
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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