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Fadaei PellehShahi, Mehrdad, Kordrostami, Sohrab, Refahi Sheikhani, Amir Hossein, Faridi Masouleh, Marzieh, Shokri, Soheil. (1401). Providing a Model for Preprocessing the Organizational Data in Order to Predict Insurance Business Processes. , (), -. doi: 10.30495/jnrm.2022.62870.2139
Mehrdad Fadaei PellehShahi; Sohrab Kordrostami; Amir Hossein Refahi Sheikhani; Marzieh Faridi Masouleh; Soheil Shokri. "Providing a Model for Preprocessing the Organizational Data in Order to Predict Insurance Business Processes". , , , 1401, -. doi: 10.30495/jnrm.2022.62870.2139
Fadaei PellehShahi, Mehrdad, Kordrostami, Sohrab, Refahi Sheikhani, Amir Hossein, Faridi Masouleh, Marzieh, Shokri, Soheil. (1401). 'Providing a Model for Preprocessing the Organizational Data in Order to Predict Insurance Business Processes', , (), pp. -. doi: 10.30495/jnrm.2022.62870.2139
Fadaei PellehShahi, Mehrdad, Kordrostami, Sohrab, Refahi Sheikhani, Amir Hossein, Faridi Masouleh, Marzieh, Shokri, Soheil. Providing a Model for Preprocessing the Organizational Data in Order to Predict Insurance Business Processes. , 1401; (): -. doi: 10.30495/jnrm.2022.62870.2139

Providing a Model for Preprocessing the Organizational Data in Order to Predict Insurance Business Processes

Journal of New Researches in Mathematics
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 18 تیر 1401  XML
نوع مقاله: research paper
شناسه دیجیتال (DOI): 10.30495/jnrm.2022.62870.2139
نویسندگان
Mehrdad Fadaei PellehShahi1؛ Sohrab Kordrostami email 2؛ Amir Hossein Refahi Sheikhani2؛ Marzieh Faridi Masouleh3؛ Soheil Shokri4
1PhD candidate of Applied Mathematics, Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
2Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
3Computer and Information Technology Department, Ahrar Institute of Technology and Higher Education, Rasht, Iran
4Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
چکیده
In this paper , a new data preprocessing method for predicting business processes is presented , using recursive neural networks , Markov chains and recursive deep learning . The aim of this study is to obtain high quality data and extract the information of the most important variables involved in the disability process of the Social Security Organization (S S O ) . For this purpose, the proposed method includes reducing the number of features and normalizing the data compared to the initial features . The method is implemented for real data of the Social Security Organization and is applied in the form of predictive method . T he results show that the proposed method increases the amount of memory usage , but the amount of CPU usage time becomes significantly lower than the methods compared . In addition, the presented method signifi cantly increases the accuracy and efficiency .
کلیدواژه‌ها
Preprocessing؛ Prediction؛ Social Insurance Business؛ Recurrent Neural Network؛ Data Mining
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تعداد مشاهده مقاله: 151


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