Volume 1 (2022-2023)

Number of Issues

3

Article View

9,253

PDF Download

13,237

View Per Article

257.03

PDF Download Per Article

367.69

Number of Submissions

60

Rejected Submissions

4

Reject Rate

7

Accepted Submissions

35

Acceptance Rate

58

Time to Accept (Days)

167

Number of Indexing Databases

9

Number of Reviewers

56

The Journal of Data Science and Modeling is an open-access, double-blind, peer-reviewed journal published by Allameh Tabataba’i University the leading university in Humanities and Social Sciences in Iran. Data Science and Modeling has been established to provide an intellectual platform for national and international researchers working on issues related to Data Science and Modeling.

To allow for easy and worldwide access to the most updated research findings, the journal is set to be an open-access journal. All submitted papers should report original and unpublished experimental or theoretical research results until they will be reviewed. Papers submitted to the journal should meet those criteria and must not be under consideration for publishing elsewhere. The journal is published in both a print and an online version.

About Journal of Data Science and Modeling:

  • Country of Publication: Iran
  • Publisher: Allameh Tabataba’i University Press
  • Format: Print and Online
  • Start Publishing: 2022
  • Print-ISSN: 2676-5926
  • E-ISSN: 2980-9010
  • Available from: ATU Press, Google Scholar, Magiran, Civilica, ...
  • Impact Factor (ISC): --
  • Frequency: Semiannual
  • Publication Dates: 2022
  • Language: English
  • Scope: Computational Statistics, Statistical modeling,  Data science.
  • Article Processing Charges: No
  • Type of Journal: Academic / Scholarly
  • Open Access: Yes
  • Indexed & Abstracted: Google Scholar, Civilica
  • Policy: Peer Review
  • Initial Review Time: up to ten days
  • Review Time: Three Weeks, approximately
  • Contact E-mail: jcsm@atu.ac.ir
  • Alternate E-mail: askandari@atu.ac.ir
The impact of audit quality on reducing collateral facilities and the role of major shareholders in listed companies of Tehran exchange market

Mahsa Ghajarbeigi; Hamid Reza Vakely fard; Ramzanali Roeayi

Volume 2, Issue 1 , December 2023, Pages 1-19

https://doi.org/10.22054/jcsm.2022.70725.1035

Abstract
  The purpose of this paper was to investigate the impact of audit quality on the reduction of collateral facilities, taking into account the role of major shareholders in companies listed on the Tehran Stock Exchange during the period 2017 to 2022. Considering the research conditions, 179 companies were ...  Read More

A New Approach Based on Business Intelligence and Bayesian Network for Analysis of Corporate Accounting Systems

azar ghyasi; hanieh rashidi

Volume 2, Issue 1 , December 2023, Pages 21-37

https://doi.org/10.22054/jcsm.2022.69949.1033

Abstract
  Due to the inherent complexity and increasing competition, today's business environment requires new approaches in organizing and managing. One of the new approaches is business intelligence, which is the most critical technology to help manage and deliver smart services, especially business reporting. ...  Read More

Machine Learning
INTELLIGENT MODELING OF PERSIAN VERNACULAR ARCHITECTURE BASED ON THE FUZZY DELPHI METHOD (FDM)

Mostafa Azghandi; Mahdi Yaghoobi; Elham Fariborzi

Volume 2, Issue 1 , December 2023, Pages 39-59

https://doi.org/10.22054/jdsm.2024.78060.1042

Abstract
  By focusing on the fuzzy Delphi technique (FDM), the current research introduces a novel approach to modeling Persian vernacular architecture. Fuzzy Delphi is a more advanced version of the Delphi Method, which utilizes triangulation statistics to determine the distance between the levels of consensus ...  Read More

Statistical Simulation
Automatic evaluation of record linkage methods in the expert system of producing statistical registers: string metric approach

Vadood keramati; Ramin Sadeghian; Maryam Hamedi; Ashkan Shabbak

Volume 2, Issue 1 , December 2023, Pages 61-77

https://doi.org/10.22054/jdsm.2024.76812.1039

Abstract
  Record linkage is a tool used to gather information and data from different sources. It is used in activities related to government, such as e-government and the production of register-based data. This method compares the strings in the databases and there are different methods for record linkage, such ...  Read More

Computational Statistics
The vector autoregressive model with asymmetric shocks for the new cases and the new deaths of Covid-19 in Iran

Manijeh Mahmoodi; Mohammad Reza Salehi Rad; Farzad Eskandari

Volume 2, Issue 1 , December 2023, Pages 79-93

https://doi.org/10.22054/jdsm.2024.78857.1044

Abstract
  AbstractThe novel corona virus (covid-19) spread quickly from person to another and one of the basic aspects of the country management has been to prevent the spread of this disease. So the prediction of its expansion is very important. In such matters, the estimation of new cases and deaths in covid-19 ...  Read More

Computational Statistics
The Beta Modified Exponential Power Series Distribution: Properties and Applications

Arezoo Asoodeh; Amir Hossein Ghatari; Ehsan Bahrami Samani

Volume 2, Issue 1 , December 2023, Pages 95-114

https://doi.org/10.22054/jdsm.2024.77694.1040

Abstract
  We propose a novel parametric distribution, termed the Beta Modified Exponential Power Series (BMEPS) distribution, capable of modeling increasing, decreasing, bathtub-shaped, and unimodal failure rates. Constructed from addressing a latent complementary risk problem, this distribution arises from a ...  Read More

Machine Learning
Blood glucose range, direction, and abnormal value prediction based on regular and NPH insulin doses using machine learning and statistical methods

Morteza Amini; Kiana Ghasemifard

Volume 2, Issue 1 , December 2023, Pages 115-131

https://doi.org/10.22054/jdsm.2024.79363.1046

Abstract
  The diabetes data set gathered by Michael Kahn, at Washington University, St. Louis, MO, which is available online at UCI machine learning repository is one of the rarely used data sets, specially for glucose prediction purposes in diabetic patients. In this paper, we study the problem of blood glucose ...  Read More

Machine Learning
Business Intelligence in Management of Knowledge Assets: Co-Word Analysis of Scientific Productions

Seyyed Mousa Khademi; Abbas Shams Vala; Somayyeh Jafari

Volume 2, Issue 1 , December 2023, Pages 133-161

https://doi.org/10.22054/jdsm.2024.79561.1047

Abstract
  The purpose of this research is to explain the application of business intelligence in managing knowledge assets, utilizing the co-word analysis technique on scientific productions related to "knowledge assets management and business intelligence". In this applied research, the method of content analysis ...  Read More

Bayesian Computation Statistics
A new optimum statistical estimation of the traffic intensity parameter for the M/M/1/K queuing model based on fuzzy and non-fuzzy criteria

Iman Makhdoom

Volume 2, Issue 1 , December 2023, Pages 163-184

https://doi.org/10.22054/jdsm.2024.79643.1048

Abstract
  This article focuses on the M/M/ 1 /K queuing model. In this model, the inter-arrival times ofcustomers to the system are random variables with an exponential distribution parameterized by λ , andthe service times of customers are random variables with an exponential distribution parameterized ...  Read More

Statistical Simulation
The Exponentiated New XLindley Distribution‎: ‎Properties‎, ‎and Applications

S.M.T. K. MirMostafaee

Volume 2, Issue 1 , December 2023, Pages 185-208

https://doi.org/10.22054/jdsm.2024.81152.1051

Abstract
  ‎ In this paper, we introduce a new extension of the XLindley distribution, called the exponentiated new XLindley ‎distribution.‎ The new model has an increasing or bathtub-shaped hazard rate function, making it suitable for modeling real-life phenomena. We study important properties of the ...  Read More

Machine Learning
Feature Selection in High Dimensional Datasets based on Adjacency Matrix

Negin Bagherpour; Behrang Ebrahimi

Volume 2, Issue 1 , December 2023, Pages 209-218

https://doi.org/10.22054/jdsm.2024.81171.1052

Abstract
  Feature selection is crucial to improve the quality of classification and clustering. It aims to enhance machine learning performance and reduce computational costs by eliminating irrelevant or redundant features. However, existing methods often overlook intricate feature relationships and select redundant ...  Read More

Statistical Computing
A Copula-based estimator for the Sharpe Ratio of a two-asset portfolio

Ali Dolati; Samane Al-sadat Mousavi; Ali Dastbaravarde

Volume 2, Issue 1 , December 2023, Pages 219-248

https://doi.org/10.22054/jdsm.2024.77878.1041

Abstract
  ‎‎‎Performance measures are essential for evaluating portfolio performance in the risk management and fund industries‎, ‎with the Sharpe ratio being a widely adopted risk-adjusted metric‎. ‎This ratio compares the excess expected return to its standard deviation‎, ‎enabling ...  Read More