Determining The Threshold Values Of Quality Metrics In BPMN Process Models Using Data Mining Techniques

Kbaier, Wiem; Ghannouchi, Sonia Ayachi

doi:10.1016/j.procs.2019.12.161

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…When the system conducts DM analysis, it is necessary to analyze whether the teaching effect of teachers is related to their age, educational background, professional title, etc., which requires the system to have complete file data of participating teachers, but the above information of teachers is not needed when collecting evaluation information. It is easy to assess the grades, but how to analyze the students' grades and extract the required hidden information is also very important [21]. In all aspects, students need constant exercise in order to improve their physical quality and ability.…”

Section: Methodsmentioning

confidence: 99%

“…In the whole process, firstly, a feature is selected in the training set as the classification standard of the current node; then, according to the evaluation criteria, child nodes are generated from top to bottom until they are inseparable. Finally, pruning is carried out to reduce the scale of tree structure, in order to prevent DT from overfitting [21].…”

Section: Analysis Of College Students' Physical Education Learningmentioning

confidence: 99%

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Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Wang

2022

Journal of Sensors

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With the wide application of computer technology, communication technology, network technology, and multimedia technology in modern education, teaching methods tend to be diversified and scientific. Based on the DM (data mining) algorithm, this paper implements a sports achievement management system. Through this system, the efficiency of inputting and counting students’ achievements can be improved, and teachers can be freed from the complicated achievement management. Aiming at the problem that SVM (Support Vector Machine) is slow in training large sample sets in DM classification, a DM classification algorithm based on improved SVM, PSO_SVM, is proposed, which applies the density of adjacent samples to the design of membership function to reduce the influence of noise points on classification. The results show that the training time of this algorithm is increased by 54.26 s and 55.69 s compared with SVM and K -means, respectively, and the accuracy is increased by 35.62%. The results obtained by the DM algorithm will be helpful for teachers to diagnose teaching problems and construct PET (physical education teaching) model for college students with characteristics.

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Section: Methodsmentioning

confidence: 99%

Section: Analysis Of College Students' Physical Education Learningmentioning

confidence: 99%

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Wang

2022

Journal of Sensors

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“…Model proses bisnis merupakan cara yang dapat mewakilkan sebuah proses bisnis menjadi model grafis yang sedang berkembang saat ini [4]. Model proses bisnis dapat diwakili dalam berbagai cara, yaitu Petri net, Business Process Model and Notation(BPMN), dan grafik [5].…”

Section: Metode Metode Model Proses Bisnisunclassified

Survei Metrik Skala dan Kompleksitas Model Proses Bisnis

et al. 2021

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Model proses bisnis memiliki kompleksitas yang melekat yang jika tidak dikendalikan akan terus meningkat dengan waktu. Ini membuat model proses rawan kesalahan. Sulit untuk memahami dan memelihara. Agar model proses bisnis dapat terjaga dengan baik, maka diperlukan metrik yang dapat mengukur tingkat kompleksitas dari model proses bisnis tersebut. Sejumlah metrik yang ada dapat digunakan untuk mengukur kompleksitas dan karenanya dapat mengendalikan kompleksitas proses bisnis. Dalam penelitian ini, dilakukan survei terhadap metrik kompleksitas proses bisnis. Hasil dari survei ini di jabarkan dalam bentuk tabel untuk mempermudah dalam membandingkan setiap metrik dan penggunaannya pada model proses bisnis disetiap jurnal.

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Data Mining-Based Metrics for the Systematic Evaluation of Software Project Management Methodologies

Cristaldo

Luise

Pietra

et al. 2021

Blockchain, Artificial Intelligence, and the Internet of Things

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Determining The Threshold Values Of Quality Metrics In BPMN Process Models Using Data Mining Techniques

Cited by 10 publications

References 6 publications

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Construction and Effect Analysis of College Students’ Physical Education Teaching Mode Based on Data Mining Algorithm

Survei Metrik Skala dan Kompleksitas Model Proses Bisnis

Data Mining-Based Metrics for the Systematic Evaluation of Software Project Management Methodologies

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