Mining data of Iraqi banks for the period 2015-2018 using the visual imaging method
DOI:
https://doi.org/10.31272/jae.i132.665Keywords:
data mining, visualization, trading indicatorsAbstract
The banking sector is one of the most important economic sectors for its active role in the process of economic development through its direct impact in financing the investments of economic units. Therefore, the contribution of this sector in the financial markets is an important supporter of the development process, as its data is excavated to verify the level of that contribution and raise the efficiency of its performance. The aim of the research is to use the technique of data mining in the banking sector in Iraq for the purpose of showing and comparing the trading indicators of the banks registered within the reports of the Iraqi Stock Exchange for the period (2015-2018), we used some statistical methods using the visual imaging method, and the results of 2016 showed that they are the best indicators. The trading volume of the banking sector compared to the rest of the research years, where the trading volume amounted to (382629419894.07) billion Iraqi dinars, while the number of shares traded was (964183615753) shares, while in 2017, there was a decrease in the indicators of the trading volume of the banking sector compared to the rest of the years, as the trading volume reached (17609202507) billion Iraqi dinars, while the number of traded shares amounted to (3120,294,171) shares, and one of the most important recommendations for research is the use of more than one of the techniques of oil exploration Analyzes for the purposes of comparison to reach better knowledge decisions, as well as support and consolidate the presence of the banking sector in the local and global markets and adopt a well-studied policy such as the policy of merger and alliance to enhance and expand its market share and competitiveness.
References
1. البدوي سعد البدوي المبارك , 2017 , "استخدام تقنيات تنقيب البيانات لاستكشاف أنماط
مؤثرا ت التحصيل الاكاديمي لطلاب المرحلة الثانوية" كلية علوم الحاسوب وتقانة المعلومات جامعة النيلين , السودان.
2. محمد فائق الناصر د. محمد دبش,2015 , " تصميم نظام تحليل مرئي لتحسين عملية إظهار مجموعات البيانات ودعم اتخاذ القرار" مجلة جامعة البعث – المجلد 73 – العدد 4,جامعة حلب ,سوريا.
المصادر الأجنبية
3- Alpa K. Oza ,2013, "Data Visualization for University Research Papers ",International
Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2 Issue-6,
January 2013.
4- Al-Azmi, A. A. R. (2013). Data, text and web mining for business intelligence: a survey. arXiv
preprint arXiv:1304.3563.
5- Arockia Panimalar.S, Komal M.Khule, Karthika.S, and Nirmala Kumari.T4(2017), " Data
Visualization Tools and Techniques For Datasets In Big Data", International Research Journal
of Engineering and Technology (IRJET), Volume: 04 Issue: 08 | Aug -2017.
6- Aldana, W. A. (2000). Data mining industry: emerging trends and new opportunities
(Doctoral dissertation, Massachusetts Institute of Technology)p.p(55,75,92).
http://web.mit.edu/profit/PDFS/AldanaW.pdf
7- Bikakis, N. (2018). Big data visualization tools. arXiv preprint arXiv:1801.08336.
8- Goodman, A. A., Borkin, M. A., & Robitaille, T. P. (2018). New Thinking on, and with, Data
Visualization. arXiv preprint arXiv:1805.11300
9- Jiawei, H., & Micheline, K. Jian Pei (2012) Data mining: Concepts and techniques "p.p56.
10- Kelleher, C., & Wagener, T. (2011). Ten guidelines for effective data visualization in scientific publications. Environmental Modeling & Software, 26(6), 822-827.
11- Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business
professionals. John Wiley & Sons.
12- Liu, J., Tang, T., Wang, W., Xu, B., Kong, X., & Xia, F. (2018). A survey of scholarly data
visualization. Ieee Access, 6, 19205-19221.
13- Moore, J. (2017). Data visualization in support of executive decision making.
Interdisciplinary Journal of Information, Knowledge, and Management, 12, 125-138.
14- Mohammed Kemal, (2019), "Data Visualization: Methods, Types, Benefits, and
Checklist",https://www.researchgate.net/publication/332101051.
15- Protopsaltis, A., Sarigiannidis, P., Margounakis, D., & Lytos, A. (2020, August). Data
visualization in internet of things: tools, methodologies, and challenges. In Proceedings of the 15th International Conference on Availability, Reliability and Security (pp. 1-11).
16- Sadiku, M., Shadare, A. E., Musa, S. M., Akujuobi, C. M., & Perry, R. (2016). Data
visualization. International Journal of Engineering Research And Advanced Technology
(IJERAT), 2(12), 11-16.

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