An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction

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Adalat Mohammad Hasan; AZMI REZA; BAGHERINEJAD JAFAR

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Journal Paper

Paper Information

Journal: Industrial Management Perspective Year:2020 | Volume:10 | Issue:3 (39) Page(s): 71-97

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Information Journal Paper

Title

An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction

Author(s)

Adalat Mohammad Hasan | AZMI REZA | BAGHERINEJAD JAFAR | Issue Writer Certificate

Keywords

Process ManagementQ1

Prediction ModelQ1

Machine LearningQ1

LSTM ArchitectureQ1

Abstract

Prediction of the process behavior plays a key role in business Process Management. This research benefits from recent development in the field of deep learning to predict the next event in business processes. The proposed method uses Long Short-Term Memory (LSTM) as a promising architecture of recurrent neural networks. This architecture is implemented using a number of configurations with the aim of investigating how each of them affects the performance of the Prediction Models. In order to build and evaluate our Prediction Models, we used two publicly available datasets (BPI 2012 and BPI 2017). After developing 300 Prediction Models, the results indicated that the proposed method outperforms the state-of-the-art methods in terms of precision. The best result in terms of Accuracy (0. 907) was achieved through “ one-hidden” layer LSTM Architecture and by using “ Big” configuration in the absence of “ feedback” .

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APA: Copy

Adalat, Mohammad Hasan, AZMI, REZA, & BAGHERINEJAD, JAFAR. (2020). An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction. JOURNAL OF INDUSTRIAL MANAGEMENT PERSPECTIVE (JIMP), 10(3 (39) ), 71-97. SID. https://sid.ir/paper/386259/en

Vancouver: Copy

Adalat Mohammad Hasan, AZMI REZA, BAGHERINEJAD JAFAR. An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction. JOURNAL OF INDUSTRIAL MANAGEMENT PERSPECTIVE (JIMP)[Internet]. 2020;10(3 (39) ):71-97. Available from: https://sid.ir/paper/386259/en

IEEE: Copy

Mohammad Hasan Adalat, REZA AZMI, and JAFAR BAGHERINEJAD, “An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction,” JOURNAL OF INDUSTRIAL MANAGEMENT PERSPECTIVE (JIMP), vol. 10, no. 3 (39) , pp. 71–97, 2020, [Online]. Available: https://sid.ir/paper/386259/en

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