How to cite this paper
Alotaibi, F. (2023). Analyzing the effects of data mining techniques on management decision making and information exchange in the industrial sector: the role of cooperation as a moderating factor in Saudi Arabia.International Journal of Data and Network Science, 7(4), 1789-1796.
Refrences
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Al-Hussein, M. A.-H. A., Alabdallat, W. I. M., Abu, M. A., Rumman, O. J., & Ali, B. J. (2023). Impact of E-Government Applications on Reducing Administrative Burden in Delivering Public Service. Information Sciences Letters, 12(3), 1663-1671 doi:http://dx.doi.org/10.18576/isl/120350
Al-Rawashdeh, O. M., Jawabreh, O., & Ali, B. J. (2023). Supply Chain Management and Organizational Performance: The Moderating Effect of Supply Chain Complexity. Information Sciences Letters, 12(3), 1673-1684. doi:http://dx.doi.org/10.18576/isl/120351
Al tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality ofAccounting Information. nformation Sciences Letters, 12(3), 1685-1692. doi:http://dx.doi.org/10.18576/isl/120352
Alhaj, A., Zanoon, N., Alrabea, A., Alnatsheh, H., Jawabreh, O., Abu-Faraj, M., & Ali, B. J. (2023). Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features. Journal of Statistics Applications & Probability, 12(2), 405-414. doi:http://dx.doi.org/10.18576/jsap/120207
Ali, M., Jones, M. W., Xie, X., & Williams, M. (2019). TimeCluster: dimension reduction applied to temporal data for visual analytics. The Visual Computer, 35(6-8), 1013-1026.
Alsaadi, F. M. (2022). An Empirical Investigation of the Factors Affecting Data Warehouse Technology Success in Medical Institutions. International Journal of Innovation, Creativity and Change, 16(2).
Amani, F. A., & Fadlalla, A. M. (2017). Data mining applications in accounting: A review of the literature and organizing framework. International Journal of Accounting Information Systems, 24, 32-58.
An, B., & Suh, Y. (2020). Identifying financial statement fraud with decision rules obtained from Modified Random Forest. Data Technologies and Applications, 54(2), 235-255.
Chen, W.-S., & Du, Y.-K. (2009). Using neural networks and data mining techniques for the financial distress prediction model. Expert Systems with Applications, 36(2), 4075-4086.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics: Sage Publications Sage CA: Los Angeles, CA.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Hicham, A., Jeghal, A., Sabri, A., & Tairi, H. (2020). A survey on educational data mining [2014-2019]. Paper presented at the 2020 international conference on intelligent systems and computer vision (ISCV).
Jahmani, A., Jawabreh , O., ALFaahmwee, E. A., Almasarweh , M. S., & Ali, B. J. A. (2023). The Impact of Employee Management on Organizational Performance in Dubais Five-Star Hotel Sector,. Journal of Statistics Applications & Probability, 12(2), 395-404.
Jawabreh, O., Shniekat, N., Saleh, M. M. A., & Ali, B. (2022). The strategic deployment of information systems attributes and financial performance in the hospitality industry. Information Sciences Letters, 11(5), 110504. doi:10.18576/isl/110510
Kanan, M., Al-Khalili, R., Alshaibani, E., Saleh, Y., Assaf, R., Al-Mimi, A., & Bakir, A. (2023). Assessing Service Quality at Optical Centers in Palestine Using SERVQUAL: Measuring Ambiguity.
Kanan, M., Habib, M. S., Habib, T., Zahoor, S., Gulzar, A., Raza, H., & Abusaq, Z. (2022). A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties. Sustainability, 14(18), 11597.
Kanan, M., Zahoor, S., Habib, M. S., Ehsan, S., Rehman, M., Shahzaib, M., . . . Hamdan, A. (2023). Analysis of Carbon Footprints and Surface Quality in Green Cutting Environments for the Milling of AZ31 Magnesium Alloy. Sustainability, 15(7), 6301.
Khouj, M., AlSharif, A., AlObaid, A., Omar, A., Aazam, F., AlGhamdi, M., . . . Kanan, M. (2022). Assessing the Service, Information, and Website Quality of the Opera Student Information System at the University of Business and Technology (UBT). Paper presented at the International Conference on Business and Technology.
Kumar, S., & Mohbey, K. K. (2022). A review on big data based parallel and distributed approaches of pattern mining. Journal of King Saud University-Computer and Information Sciences, 34(5), 1639-1662.
Li, J., Pan, Q.-s., Hong, B.-r., & Li, M.-h. (2009). Multi-robot cooperative pursuit based on association rule data mining. Paper presented at the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
Li, L., & Tiwari, R. S. (2022). The Use of Data Mining Algorithms Combined with Artificial Intelligence in Music Therapy. Paper presented at the The International Conference on Cyber Security Intelligence and Analytics.
Liu, J., & Wu, J. (2018). Multiagent robotic systems: CRC press.
Ltifi, H., Benmohamed, E., Kolski, C., & Ayed, M. B. (2016). Enhanced visual data mining process for dynamic decision-making. Knowledge-Based Systems, 112, 166-181.
Moscoso-Zea, O., Castro, J., Paredes-Gualtor, J., & Luján-Mora, S. (2019). A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education. IEEE access, 7, 38778-38788.
Nawaiseh, K. H. A., Alawamleh, H., Al Shibly, M., Almari, M., Orabi, T. A., Jerisat, R., . . . Badadwa, A. (2022). The Relationship Between the Enterprise Resource Planning System and Maintenance Planning System: An Empirical Study. Information Sciences Letters, 11(5), 1-11. doi:https://digitalcommons.aaru.edu.jo/isl/vol11/iss5/2
Sarka, P., Heisig, P., Caldwell, N. H., Maier, A. M., & Ipsen, C. (2019). Future research on information technology in knowledge management. Knowledge and Process Management, 26(3), 277-296.
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences, aop(aop), 1–9. doi:10.2478/amns.2022.2.0157
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., . . . Lin, F. (2023). Intelligent computing: the latest advances, challenges, and future. Intelligent Computing, 2, 0006.
Aishwarya, K., & Jabbar, M. (2022). Data mining analysis for precision agriculture: A comprehensive survey. ECS Transactions, 107(1), 17769.
Al-Hussein, M. A.-H. A., Alabdallat, W. I. M., Abu, M. A., Rumman, O. J., & Ali, B. J. (2023). Impact of E-Government Applications on Reducing Administrative Burden in Delivering Public Service. Information Sciences Letters, 12(3), 1663-1671 doi:http://dx.doi.org/10.18576/isl/120350
Al-Rawashdeh, O. M., Jawabreh, O., & Ali, B. J. (2023). Supply Chain Management and Organizational Performance: The Moderating Effect of Supply Chain Complexity. Information Sciences Letters, 12(3), 1673-1684. doi:http://dx.doi.org/10.18576/isl/120351
Al tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality ofAccounting Information. nformation Sciences Letters, 12(3), 1685-1692. doi:http://dx.doi.org/10.18576/isl/120352
Alhaj, A., Zanoon, N., Alrabea, A., Alnatsheh, H., Jawabreh, O., Abu-Faraj, M., & Ali, B. J. (2023). Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features. Journal of Statistics Applications & Probability, 12(2), 405-414. doi:http://dx.doi.org/10.18576/jsap/120207
Ali, M., Jones, M. W., Xie, X., & Williams, M. (2019). TimeCluster: dimension reduction applied to temporal data for visual analytics. The Visual Computer, 35(6-8), 1013-1026.
Alsaadi, F. M. (2022). An Empirical Investigation of the Factors Affecting Data Warehouse Technology Success in Medical Institutions. International Journal of Innovation, Creativity and Change, 16(2).
Amani, F. A., & Fadlalla, A. M. (2017). Data mining applications in accounting: A review of the literature and organizing framework. International Journal of Accounting Information Systems, 24, 32-58.
An, B., & Suh, Y. (2020). Identifying financial statement fraud with decision rules obtained from Modified Random Forest. Data Technologies and Applications, 54(2), 235-255.
Chen, W.-S., & Du, Y.-K. (2009). Using neural networks and data mining techniques for the financial distress prediction model. Expert Systems with Applications, 36(2), 4075-4086.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics: Sage Publications Sage CA: Los Angeles, CA.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Hicham, A., Jeghal, A., Sabri, A., & Tairi, H. (2020). A survey on educational data mining [2014-2019]. Paper presented at the 2020 international conference on intelligent systems and computer vision (ISCV).
Jahmani, A., Jawabreh , O., ALFaahmwee, E. A., Almasarweh , M. S., & Ali, B. J. A. (2023). The Impact of Employee Management on Organizational Performance in Dubais Five-Star Hotel Sector,. Journal of Statistics Applications & Probability, 12(2), 395-404.
Jawabreh, O., Shniekat, N., Saleh, M. M. A., & Ali, B. (2022). The strategic deployment of information systems attributes and financial performance in the hospitality industry. Information Sciences Letters, 11(5), 110504. doi:10.18576/isl/110510
Kanan, M., Al-Khalili, R., Alshaibani, E., Saleh, Y., Assaf, R., Al-Mimi, A., & Bakir, A. (2023). Assessing Service Quality at Optical Centers in Palestine Using SERVQUAL: Measuring Ambiguity.
Kanan, M., Habib, M. S., Habib, T., Zahoor, S., Gulzar, A., Raza, H., & Abusaq, Z. (2022). A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties. Sustainability, 14(18), 11597.
Kanan, M., Zahoor, S., Habib, M. S., Ehsan, S., Rehman, M., Shahzaib, M., . . . Hamdan, A. (2023). Analysis of Carbon Footprints and Surface Quality in Green Cutting Environments for the Milling of AZ31 Magnesium Alloy. Sustainability, 15(7), 6301.
Khouj, M., AlSharif, A., AlObaid, A., Omar, A., Aazam, F., AlGhamdi, M., . . . Kanan, M. (2022). Assessing the Service, Information, and Website Quality of the Opera Student Information System at the University of Business and Technology (UBT). Paper presented at the International Conference on Business and Technology.
Kumar, S., & Mohbey, K. K. (2022). A review on big data based parallel and distributed approaches of pattern mining. Journal of King Saud University-Computer and Information Sciences, 34(5), 1639-1662.
Li, J., Pan, Q.-s., Hong, B.-r., & Li, M.-h. (2009). Multi-robot cooperative pursuit based on association rule data mining. Paper presented at the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
Li, L., & Tiwari, R. S. (2022). The Use of Data Mining Algorithms Combined with Artificial Intelligence in Music Therapy. Paper presented at the The International Conference on Cyber Security Intelligence and Analytics.
Liu, J., & Wu, J. (2018). Multiagent robotic systems: CRC press.
Ltifi, H., Benmohamed, E., Kolski, C., & Ayed, M. B. (2016). Enhanced visual data mining process for dynamic decision-making. Knowledge-Based Systems, 112, 166-181.
Moscoso-Zea, O., Castro, J., Paredes-Gualtor, J., & Luján-Mora, S. (2019). A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education. IEEE access, 7, 38778-38788.
Nawaiseh, K. H. A., Alawamleh, H., Al Shibly, M., Almari, M., Orabi, T. A., Jerisat, R., . . . Badadwa, A. (2022). The Relationship Between the Enterprise Resource Planning System and Maintenance Planning System: An Empirical Study. Information Sciences Letters, 11(5), 1-11. doi:https://digitalcommons.aaru.edu.jo/isl/vol11/iss5/2
Sarka, P., Heisig, P., Caldwell, N. H., Maier, A. M., & Ipsen, C. (2019). Future research on information technology in knowledge management. Knowledge and Process Management, 26(3), 277-296.
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences, aop(aop), 1–9. doi:10.2478/amns.2022.2.0157
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., . . . Lin, F. (2023). Intelligent computing: the latest advances, challenges, and future. Intelligent Computing, 2, 0006.