Unveiling the Frontier of Fraud Detection: A Journey through Cutting-edge Machine Learning Strategies in Islamic Banking Transactions
- سال انتشار: 1403
- محل انتشار: نوزدهمین کنفرانس ملی اقتصاد، مدیریت و حسابداری
- کد COI اختصاصی: EMCCONF19_004
- زبان مقاله: فارسی
- تعداد مشاهده: 195
نویسندگان
Business-Accounting and Finance Ph.D.(C) The student in the Institute of Social Sciences of Istanbul Arel University.
چکیده
Embarking on a transformative voyage, this article delves into the forefront of financial security with "Unveiling the Frontier of Fraud Detection: A Journey through Cutting-edge Machine Learning Strategies in Islamic Banking Transactions." In an era where the synergy of innovation and security is paramount, this exploration transcends the conventional boundaries of fraud detection, introducing a paradigm shift in the landscape of Islamic banking transactions.The narrative unfolds at the intersection of tradition and technology, as we navigate through the intricate tapestry of Islamic banking principles guided by Sharia compliance. At the heart of this journey lies the unprecedented convergence of machine learning strategies, poised as a powerful arsenal against the ever-evolving specter of fraudulent activities. Each transaction within the Islamic banking ecosystem becomes a canvas, intricately scrutinized by intelligent algorithms designed not only to detect anomalies but to interpret the nuanced dynamics of financial interactions.Immerse yourself in the narrative of this cutting-edge expedition, where machine learning transcends its conventional applications to become the vanguard of a proactive defense mechanism. The article provides a nuanced understanding of the symbiotic relationship between financial prudence and technological sophistication, as algorithms decipher the subtle patterns indicative of potential fraud within the ethical contours of Islamic banking.Anticipate insights into the transformative role of machine learning strategies, shaping the future of fraud detection in Islamic banking transactions. Unveil the layers of this symbiosis, where algorithms not only fortify the core principles of Islamic finance but also redefine the trajectory of financial security. This exploration promises to illuminate the uncharted territories of fraud detection, presenting a roadmap towards a more secure, ethically grounded, and technologically advanced era for Islamic banking transactions.کلیدواژه ها
Fraud Detection, Machine Learning, Islamic Banking, Transactions, Strategies and Unveiling the Frontierاطلاعات بیشتر در مورد COI
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کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.