Crafting Precision in Customer Classification: A Holistic Expedition into the World of Advanced Algorithms and Techniques in Islamic Banking Systems Complete

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 158

فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

EMCCONF19_002

تاریخ نمایه سازی: 18 تیر 1403

چکیده مقاله:

This research presents a thorough examination of the latest advancements in customer classification algorithms within the realm of Islamic banking. Through a meticulous review and comparative analysis of existing literature, the study aims to elucidate the strengths, weaknesses, and potential applications of various algorithms in enhancing precision and efficiency in customer classification processes. By synthesizing insights from diverse sources, including academic papers, industry reports, and regulatory guidelines, this research contributes to a deeper understanding of the evolving landscape of customer classification in Islamic banking.This research provides a detailed examination of recent advancements in customer classification algorithms within the domain of Islamic banking. Through an extensive review of literature and comparative analysis, the study aims to elucidate the strengths, weaknesses, and potential applications of various algorithms in improving precision and efficiency in customer classification processes. Drawing upon academic papers, industry reports, and regulatory guidelines, this research contributes to a deeper understanding of the evolving landscape of customer classification in Islamic banking. This research provides a detailed examination of recent advancements in customer classification algorithms within the domain of Islamic banking. Through an extensive review of literature and comparative analysis, the study aims to elucidate the strengths, weaknesses, and potential applications of various algorithms in improving precision and efficiency in customer classification processes. Drawing upon academic papers, industry reports, and regulatory guidelines, this research contributes to a deeper understanding of the evolving landscape of customer classification in Islamic banking.

کلیدواژه ها:

Customer Classification ، Precision ، Advanced Algorithms ، Decision Support Systems ، Predictive Modeling ، Financial Technology and Regulatory Compliance.

نویسندگان

Farshad Ganji

Business-Accounting and Finance Ph.D.(C) The student in the Institute of Social Sciences of Istanbul Arel University.