Search Results - (( developing banking sector algorithm ) OR ( java implication based algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

“…This type of financial crimes causes negative impacts on the integrity and stability of the global banking sector. Traditional rule-based anti-money laundering (AML) systems are static and unable to effectively detect the novel tactics involved in modern money laundering schemes. …”
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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

“…This study conducts a systematic literature review (SLR) on the prediction of loan defaults using machine learning algorithms (MLAs) from 2020 to 2023. It critically examines the transition from traditional statistical models to advanced ML techniques in assessing credit risk, with a focus on the banking sector's need for reliable default prediction methods. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

“…For a real problem application, we consider the data from Gulf Commercial Bank in Iraq. This study revealed that the GK along with the MBPSO algorithm showed a better performance as compared to the GK algorithm alone. …”
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Consumers' intention to use e-money mobile using the decomposed theory of planned behavior by Husnil, Khatimah

“…The Partial Least Squares Method (PLS) series PLS 2.0 M3 for algorithm and bootstrap techniques and SPSS 18 was used to test the hypothesis that has been developed. …”
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Bibliometric analysis of AI-driven FinTech revolution: mapping global trends, thematic evolution, and future directions by Magli, Amirah Shazana, Sabri, Mohamad Fazli, Hazudin, Siti Fahazarina, Law, Siong Hook, Janani, M., Najam, Usama, Shahabudin, Sharifah Muhairah

“…However, despite such advances, issues related to algorithmic bias, transparency, and cybersecurity risks remain persistent. …”
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الضوابط الشرعية والمهنية للعملات الافتراضية في ظل الرقمنة المالية by Mahmoud Mohamed Ali Mahmoud Edris, Mohamed Sharif Bashir, Muneer Ali Abdul Rab, Ahmad Zaki Salleh

A simultaneous spam and phishing attack detection framework for short message service based on text mining approach by Mohd Foozy, Cik Feresa

“…The Phishing Rule-Based algorithm is used to extract SMS Phishing. For Module 2, the SMS Attack Profiling algorithm is used in order to produce SMS Spam and Phishing words. …”
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