Data Mining and Banking (Using two different tools)

المؤلفون

  • Abdulssalam Jomah Akroma Computer Department, Faculty of Science, Bani Waleed University, Libya مؤلف

DOI:

https://doi.org/10.58916/jhas.v9i1.206

الكلمات المفتاحية:

Classification, Rapid Miner tool, data extraction, adding SQL to Excel, data mining.

الملخص

The biggest challenge that bankers face these days is how to improve the data collection methods to get relevant information; moreover, how to organize and analyze the collected data effectively.  Adopting the right methods will ultimately help bankers to take the appropriate decision to achieve their desired goals and to get the answers of the main business issues, besides that it will help them to predict new customer’s behavior. The objective of this project is to analyze a bank dataset and find out what input factors had a greatest impact on the outcome whether it was desirable or not desirable.

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

المراجع

Stefan M. Kostić, Miloš Đuričić, Mirjana I. Simić and Miroljub V. Kostić, "Data Mining and Modeling use Case in Banking Industry," in Telecommunications Forum (TELFOR), Belgrade, Serbia, 2018.

L. I. Irina Ionita, "A Decision Support Based on Data Mining in e-Banking," in Roedunet International Conference , Romania, 2011.

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H. Zhang, "The Optimality of Naive Bayes," in International Journal of Pattern Recognition and Artificial Intelligence, 2005.

Ruguo Cao and Yongqin Tan, "Data Mining Program in library based on SQL Server 2005," in 2012 IEEE Symposium on Robotics and Applications (ISRA), Kuala Lumpur, Malaysia, 2012.

P. C. Sérgio Moro and Raul M. S. Laureano, "USING DATA MINING FOR BANK DIRECT MARKETING:," in Proceedings of the European Simulation and Modelling Conference, Portugal, 2011.

S. P. T. W. R. M. D. Twa, "Decision Tree Classification of Spatial Data Patterns," in Decision Tree Classification of Spatial Data Patterns.

"Microsoft," [Online]. Available: http://msdn.microsoft.com/en-us/library/ms175595.

K. Chitra Lekha and S. Prakasam, "Data mining techniques in detecting and predicting cyber crimes in banking sector," in International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, 2017.

التنزيلات

منشور

2024-03-09

إصدار

القسم

Article

كيفية الاقتباس

Abdulssalam Jomah Akroma. (2024). Data Mining and Banking (Using two different tools). مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, 9(1), 337-346. https://doi.org/10.58916/jhas.v9i1.206

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