Modified Time-Based Heuristics Miner for Parallel Business Processes

Sarno, Riyanarto; Effendi, Yutika Amelia; Haryadita, Fitrianing

doi:10.15866/irecos.v11i3.8717

Cited by 36 publications

(25 citation statements)

References 14 publications

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“…This is important because the extended process business must be related to previous business processes. So, we proposed a equation for measure the scalability metric between two models of business process based on similarity and complexity measure, mentioned in (8): (8) Where, measuring scalability has two alternative equation, by using control flow complexity mentioned in (9) or by using cyclometic complexity mentioned in (10). In section IV, this paper compared both complexities.…”

Section: Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Performance Measurement Based on Coloured Petri Net Simulation of Scalable Business Processes

Fauzan¹,

Sarno²,

Yaqin³

2017

EECSI

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Business process is also a complex area which receives much attention in recent years especially in increasing productivity and saving cost. Meanwhile, situation at the company allows existing business processes to be enlarged. This paper proposed the performance measurement based on coloured petri net simulation of scalable business processes, which has purpose to compare the performance of scalable business processes. For experiments, this paper uses real-world business processes. Then compare it to some business processes that have been enlarged. The result shows that scalable business processes influence the performance of business process. This paper provides feedback to business process developers for determine appropriate business processes based on the performance through coloured petri net simulation.

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Section: Proposed Methodsmentioning

confidence: 99%

“…Petri net is business process modeling that aims to analyze various models in the business processes [8][9][10]. A Model of petri net has three elements of model, such as transition, place and arc.…”

Section: A Petri Net Modelsmentioning

confidence: 99%

Performance Measurement Based on Coloured Petri Net Simulation of Scalable Business Processes

Fauzan¹,

Sarno²,

Yaqin³

2017

EECSI

Self Cite

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“…The step goal is constructing dependency model which provides the activity records [19]. There are several steps that are used to determine the dependency model, such as calculating the Dependency Threshold [14].…”

Section: Heuristic Miner Algorithmmentioning

confidence: 99%

“…Heuristic Miner continues to be developed by other researchers. The development of Heuristic Miner is Modified Heuristic Miner [14], Modified Time-based Heuristic Miner [14], and Fodina [15]. Fodina focused on reducing duplicate tasks in the result of Heuristic Miner and left it entirely on users to determine the thresholds.…”

Section: Introductionmentioning

confidence: 99%

Heuristic Linear Temporal Logic Pattern Algorithm in Business Process Model

Sungkono¹,

Rochmah²,

Sarno³

2019

IJIES

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Process discovery obtains a process model of activity records. There are two representations of process model, i.e. a probabilistic model and a deterministic model. A deterministic model takes all of activity records to depict a process model, however, the probabilistic model chooses several activity records that satisfy a threshold. Determination of the right threshold leads the emergence of many discovery algorithms of probabilistic models, such as Heuristic Miner, Fodina, Modified Heuristic Miner, and Modified Time-Based Heuristic Miners. Those algorithms determine a threshold based on users or an average of probabilities of activity records, so the quality of the model depends on user proficiency or frequent activities. This paper proposes a new algorithm of probabilistic model discovery, i.e. Heuristic Linear Temporal Logic (HLTL), which determines the threshold based on four quality aspects, i.e. Fitness, Precision, Generalization, and Simplicity. HLTL utilizes Linear Temporal Logic to create a formal representation of process model and store the weight of relationships used for the threshold formation. The result shows that the process model constructing by HLTL has better quality aspects than the process model constructing by Modified Heuristic Miners and Modified Time-Based Heuristic Miners. The generalization value of HLTL is 0.8422 and the generalization value of Modified Heuristic Miner and Modified Time-Based Heuristic Miners are 0.8421.

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“…All research about process discovery, e.g. [4]- [7], had proposed algorithms for modeling processes based on the sequence of activities from the event logs. Meanwhile, for understanding the behavior deeply, intentions as the basis of the chosen activities in a process are more needed than only activities [8].…”

Section: Introductionmentioning

confidence: 99%

CHMM for Discovering Intentional Process Model From Event Logs by Considering Sequence of Activities

Sungkono¹,

Sarno²

2017

EECSI

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An intentional process model is known to analyze processes deeply and provide recommendations for the upcoming processes. Nevertheless, the discovery of intentions is a difficult task because the intentions are not recorded in the event log, but they encourage the executable activities in the event log. Map Miner is the latest algorithm to depict the intentional process model. A disadvantage of this algorithm is the inability to determine strategies that contain same activities with the different sequence with other strategies. This disadvantage leads failure on the intentional process model. This research proposes an algorithm for discovering an intentional process model by considering the sequence of activities and CHMM (Coupled Hidden Markov Model). The probabilities and states of CHMM are utilized for the formation of the intentional process model. The experiment shows that the proposed algorithm with considering the sequence of activities gets an appropriate intentional process model. It also demonstrates that an obtained intentional process model using proposed algorithm gets the better validity than an intentional process model using Map Miner Method.

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Modified Time-Based Heuristics Miner for Parallel Business Processes

Cited by 36 publications

References 14 publications

Performance Measurement Based on Coloured Petri Net Simulation of Scalable Business Processes

Performance Measurement Based on Coloured Petri Net Simulation of Scalable Business Processes

Heuristic Linear Temporal Logic Pattern Algorithm in Business Process Model

CHMM for Discovering Intentional Process Model From Event Logs by Considering Sequence of Activities

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