Multi Sourced Financial Record Analytics and Fraud Detection Big Data

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Big data analytics for fraud detection by analyzing multiple financial records of individuals, collected from various sources such as financial institutions (banks and insurance) and government departments within UAE. And develop an algorithm to solve the detected issue to prevent the fraud. 1. Data mining to discover people suspected for fraud a. Build a warehouse out of multiple databases, based on records received from Bank (16 banks), government entities such as Emirates Identity Authority, Housing Authority, Municipal Affairs, Department of Naturalization & Residency and 16 more. 2. Identify people who have launched 2 or more successful applications and granted loan a. Multiple criterion to come up with list of applications launched by applicants b. Application by date and comparison c. Analysis based on financial fraud statistics 3. Detect cash transaction under country regulation set thresholds a. Process to acquire records below regulatory thresholds to perform detect b. Record number of foreign exchange transfers below AED 4000 and look for individuals requested loans 4. Identify forged checques and loan applications a. Perform background checks with-in the records colonized with the data warehouse. b. Comparison of income and spending records, to justify the loan repayment 5. Make processes & procedures to deter fraud a. Credit grant process to be introduced to banks to take better decisions b. Process to decrease workload of forged application c. Blacklist creation for falsified candidates to be used and link other processes d. Blacklist of defaulters mapped with nationality and range of income.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ee0ae6de-3dc7-45d4-ab6f-8ee28df54af3

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2283525_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Bader Mohammed","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Chan Yeob Yeun ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Ernesto Damiani","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Multi Sourced Financial Record Analytics and Fraud Detection Big Data

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Big Data; Fraud; Detection; Data Mining; Financial Institutions

إشراف وإعداد

الإشراف

Chan Yeob Yeun , Ernesto Damiani

الإعداد

Bader Mohammed

الاقتباسات الببليوغرافية