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Measuring precision of modeled behavior

A. Adriansyah, J. Munoz-Gama, J. Carmona, B. F. van Dongen, W. M. P. van der Aalst
2014 Information Systems and E-Business Management  
In this paper, we propose a method to measure precision of process models, given their event logs by first aligning the logs to the models.  ...  However, it is easy to construct models that allow for lots of behavior (including the observed behavior) without being precise.  ...  This results Measuring precision of modeled behavior in unreliable precision measurements as shown in this paper.  ... 
doi:10.1007/s10257-014-0234-7 fatcat:4qkwz6kjmzew7fbftb57qbtazm

The imprecisions of precision measures in process mining

Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M.P. van der Aalst
2018 Information Processing Letters  
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log.  ...  Further, we show through counter-examples that none of the existing measures consistently quantifies precision.  ...  More recent precision measures are capable of calculating the precision of a model for an event log even when the models allows for infinite behavior.  ... 
doi:10.1016/j.ipl.2018.01.013 fatcat:5qjveoheqbckhitos7m2dy7g3m

Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery [chapter]

Adriano Augusto, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Daniel Reissner
2018 Lecture Notes in Computer Science  
One of these criteria, namely precision, captures the extent to which the behavior allowed by a process model is observed in the log.  ...  This paper presents a family of precision measures based on the idea of comparing the k-th order Markovian abstraction of a process model against that of an event log.  ...  Intuitively, precision measures try to estimate how much of the behavior captured in a process model can be found in the behavior recorded in an event log.  ... 
doi:10.1007/978-3-319-98648-7_10 fatcat:76xkyhygfbabfiwbjczijl4lxy

Measuring the Precision of Multi-perspective Process Models [chapter]

Felix Mannhardt, Massimiliano de Leoni, Hajo A. Reijers, Wil M. P. van der Aalst
2016 Lecture Notes in Business Information Processing  
Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the  ...  Clearly, a process model should be able to explain the behavior of the process using the process model: The model should recall the observed behavior.  ...  Precision Measure The precision of a process model in relation to an event log must take into account the extra behavior allowed by the model that is not seen in the event log.  ... 
doi:10.1007/978-3-319-42887-1_10 fatcat:f6ckm3um5nbo5jvcavtj6abyoi

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining [article]

Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich
2020 arXiv   pre-print
A process model has "good" precision with respect to the log it was discovered from if it does not encode many traces that are not part of the log, and has "good" recall if it encodes most of the traces  ...  The measures allow quantifying classical non-deterministic and stochastic precision and recall quality criteria for process models automatically discovered from traces executed by IT-systems and recorded  ...  Entropy-Based Conformance Checking The key idea for quantifying precision and recall between a model that describes "relevant" behavior and a model that captures "retrieved" behavior is to measure the  ... 
arXiv:2008.09558v2 fatcat:fx6fzeqfhrfcdmqlx7ppqschve

Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version) [article]

Anja F. Syring and Niek Tax and Wil M.P. van der Aalst
2019 arXiv   pre-print
Precision is concerned with quantifying how much behavior a process model allows for that was never observed in the event log.  ...  Recall, also called fitness, is concerned with quantifying how much of the behavior that was observed in the event log fits the process model.  ...  In this view, system fitness measures the fraction of the behavior of the system that is captured by the model and system precision measures how much of the behavior of the model is part of the system.  ... 
arXiv:1909.02393v1 fatcat:nf4n4er76nccnm2vh4me4kbnpq

The importance of behavior theory in control system modeling of physical activity sensor data

William T. Riley, Cesar A. Martin, Daniel E. Rivera
2014 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Incorporating the intensive longitudinal measurement of these theoretical constructs is critical to improving the fit of control system model of physical activity and for advancing behavioral theory.  ...  Control systems and other system dynamic approaches have long been considered applicable for understanding human behavior, but only recently has the technology provided the precise and intensive longitudinal  ...  CONCLUSION Wearable sensor technologies have produced precise measure, temporally dense measures of physical activity that can be used for dynamical system modeling.  ... 
doi:10.1109/embc.2014.6945209 pmid:25571577 pmcid:PMC4371542 dblp:conf/embc/RileyMR14 fatcat:nb7a5r3bu5hb3i32l6gczd3bbm

TAGER: Transition-Labeled Graph Edit Distance Similarity Measure on Process Models [chapter]

Zixuan Wang, Lijie Wen, Jianmin Wang, Shuhao Wang
2014 Lecture Notes in Computer Science  
As the coverability graph represents the behavior of a Petri net well, TAGER, based on it, has a high precise computation.  ...  Besides, the T-labeled graphs (an isomorphic graph of the coverability graph) of models are independent, so TAGER can be used as the index for searching process models in a repository.  ...  Furthermore, it cannot deal with process models with invisible tasks. TAGER, as a behavioral similarity measure, chooses Petri net as its modeling notation.  ... 
doi:10.1007/978-3-662-45563-0_11 fatcat:67amnieotffdhhqyzdkgp6wdam

The Dynamic Pilot Behavioral Models

Miroslav Jirgl, Marie Havlikova, Zdenek Bradac
2015 Procedia Engineering  
This paper presents an analysis of dynamic human behavioral models focused on the action of pilots during flight. The linear dynamic models are used for the approximation of human behavior.  ...  A substantial portion of the paper contains a simulation-based comparison of the discussed models, whose parameters are based on real measurements on a flight simulator.  ...  FEKT-S-14-2429 -"The research of new control methods, measurement procedures and intelligent instruments in automation" financially supported by the internal science fund of Brno University of Technology  ... 
doi:10.1016/j.proeng.2015.01.483 fatcat:bonfu7wrafhujlht4nocyisv3y

Determinants of Iranian agricultural consultants' intentions toward precision agriculture: Integrating innovativeness to the technology acceptance model

Somayeh Tohidyan Far, Kurosh Rezaei-Moghaddam
2017 Journal of the Saudi Society of Agricultural Sciences  
Also individual innovativeness, attitude of confidence, perceived ease of use and perceived usefulness of precision agricultural technologies affected on the behavioral attitude and behavioral intention  ...  The results of structural equation modeling indicated that agricultural personnel and consultants in Fars Province intended to use precision agricultural technologies.  ...  The results of measured model have been presented in Table 5 .  ... 
doi:10.1016/j.jssas.2015.09.003 fatcat:nqnmgmr3o5eldezy34wqng2mz4

A robust F-measure for evaluating discovered process models

Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2011 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)  
This approach allows for the definition of a behavioral F-measure for discovered process models, which is the main contribution of this paper.  ...  Within process mining research, one of the most important fields of study is process discovery, which can be defined as the extraction of control-flow models from audit trails or information system event  ...  Even more, we found out that in case event logs portray loop behavior, a B often resulted in a considerable underestimation of the precision of the discovered process model.  ... 
doi:10.1109/cidm.2011.5949428 dblp:conf/cidm/WeerdtBVB11 fatcat:suvhqu2ylzfsbiys2j4sez6try

A Fresh Look at Precision in Process Conformance [chapter]

Jorge Muñoz-Gama, Josep Carmona
2010 Lecture Notes in Computer Science  
Among the different conformance dimensions, in this paper we propose a novel measure for precision, based on the simple idea of counting these situations were the model deviates from the log.  ...  Moreover, a log-based traversal of the model that avoids inspecting its whole behavior is presented.  ...  Evaluating Precision As it has been seen before, the escaping edges are a good indicator for measuring the behavior of a model compared to the behavior reflected in the log.  ... 
doi:10.1007/978-3-642-15618-2_16 fatcat:5me3h3elprduxc2p62hvgmey3y

Research on User Influence Model Integrating Personality Traits under Strong Connection

Chunhua Ju, Qiuyang Gu, Yi Fang, Fuguang Bao
2020 Sustainability  
The user influence measurement is constructed through the information dimension, structural dimension, and user behavioral dimension.  ...  The experiment proves that the model proposed in this paper has good accuracy and applicability in measuring user influence, and can effectively identify the key opinion leaders of different personality  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12062217 fatcat:5zys55nxdvdifg3uhsu2tflsva

An Adaptive Activity Recognition Approach in Smart Environments

Ahmed A., T. A., Amr T.
2018 International Journal of Computer Applications  
The conducted simulation results show that the proposed approach achieves better performance than existing approaches in terms of accuracy, recall, and f-measure metrics.  ...  In this paper, a new approach to recognize the human behaviors based on finding the minimum number of activities to perform the behavior by determining the membership degree of each activity for each behavior  ...  Precision= (6) (b) Recall: measures the relevant behaviors found against all relevant behaviors i.e. the percentage of correct behaviors that are selected and is defined by the following equation  ... 
doi:10.5120/ijca2018917738 fatcat:yzcs2ryxqvfq3nfhv65bmil55y

Towards Confirmatory Process Discovery: Making Assertions About the Underlying System

Gert Janssenswillen, Benoît Depaire
2018 Business & Information Systems Engineering  
The results show that important biases exist, which makes it currently nearly impossible to objectively measure the ability of a model to represent the system.  ...  In this paper, an experiment is described and discussed to analyze whether existing fitness, precision and generalization metrics can be used as unbiased estimators of system fitness and system precision  ...  As a result, log precision might be lower than the system precision because the model allows for unrecorded but correct behavior. On the other hand, there can be measurement errors in the data.  ... 
doi:10.1007/s12599-018-0567-8 fatcat:2hzhieor3zcv5ctoc6dfk4fq2q
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