Credit risk analysis of microfinance using data mining techniques / (Record no. 176714)

MARC details
000 -LEADER
fixed length control field 04788namaa22004331i 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GICUC
005 - أخر تعامل مع التسجيلة
control field 20260106101004.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251214s2025 ua a|||frm||| 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloguing agency EG-GICUC
Language of cataloging eng
Transcribing agency EG-GICUC
Modifying agency EG-GICUC
Description conventions rda
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract eng
-- ara
049 ## - Acquisition Source
Acquisition Source Deposit
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 005.1
Edition number 21
097 ## - Degree
Degree M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Local Call Number Cai01.18.07.M.Sc.2025.Sa.C
100 0# - MAIN ENTRY--PERSONAL NAME
Authority record control number or standard number Sameh Hussein Ali Al-Bayoumi,
Preparation preparation.
245 10 - TITLE STATEMENT
Title Credit risk analysis of microfinance using data mining techniques /
Statement of responsibility, etc. by Sameh Hussein Ali Al-Bayoumi ; Supervised Prof. Dr. Lamiaa Fattouh, Dr. Atef Raslan.
246 15 - VARYING FORM OF TITLE
Title proper/short title تحليل مخاطر الائتمان للتمويل متناهى الصغر باستخدام تقنيات التنقيب عن البيانات
264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Extent 138 Leaves :
Other physical details illustrations ;
Dimensions 30 cm. +
Accompanying material CD.
336 ## - CONTENT TYPE
Content type term text
Source rda content
337 ## - MEDIA TYPE
Media type term Unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc)-Cairo University, 2025.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography: pages 131-138.
520 #3 - SUMMARY, ETC.
Summary, etc. Microfinance companies face numerous challenges associated with financing <br/>activities, particularly in the non-bank sector. Each year, many cases are recorded where <br/>individuals fail to repay the majority of their microfinance obligations, leading to <br/>substantial financial losses. As a result, the risk involved in approving microfinance <br/>requests remains high. In this study, a classification model was developed based on <br/>microfinance data obtained from Tamweely company, with the aim of predicting the loan <br/>repayment status of clients. The dataset underwent preprocessing, reduction, and <br/>preparation to ensure efficient and accurate predictions. Several classification algorithms—<br/>Random Forest, Naïve Bayes, K-Nearest Neighbors (KNN), J48 Tree, and Bayes Net—<br/>were applied to build and evaluate the predictive models. The implementation and testing <br/>of the models were carried out using the Weka 3.9.6 application. The accuracy results for <br/>the applied algorithms were as follows: Random Forest – 99.7885%, Naïve Bayes – <br/>89.0624%, KNN – 85.4659%, J48 Tree – 99.7901%, and Bayes Net – 96.1946%. Based <br/>on its superior accuracy, the J48 Tree algorithm was selected as the final model for <br/>prediction purposes.
520 #3 - SUMMARY, ETC.
Summary, etc. تواجه شركات التمويل متناهى الصغر تحدياتٍ عديدةً مرتبطةً بالتمويل واليوم، تتعدد المخاطر المرتبطة بالتمويل متناهى الصغر في القطاع المالى غير المصرفي. ففي كل عام، نواجه حالاتٍ عديدةً يتعثرون فيها الأفراد عن سداد معظم مبالغ التمويل متناهى الصغر للشركات، مما يُسبب خسائر فادحة لهذه الشركات. وتُعدّ المخاطر المرتبطة باتخاذ قرارات الموافقة على طلبات التمويل متناهى الصغر كبيرةً. في هذه الدراسة، تم بناء نموذج تصنيفٍ بناءً على بيانات التمويل متناهى الصغر تم الحصول عليها من شركة "تمويلي" للتنبؤ بحالة التمويل . وقد تم المعالجة المسبقة لمجموعة البيانات وتقليلها، وأُعدّت لتقديم تنبؤاتٍ فعّالة. واستُخدمت الدراسة عدة خوارزميات التصنيف التالية: Random Forest، Naive Bayes، KNN ، J48 Tree، وBayes Net. تم تنفيذ النموذج واختباره باستخدام تطبيق Weka، وجاءت معدلات الدقة للخوارزميات المذكورة على النحو التالي: Random Forest – %99.7885، Naive Bayes – %89.0624، KNN – %85.4659، J48 Tree – %99.7901، وBayes Net – %96.1946. وقد تم اختيار J48 Tree كأفضل خوارزمية بناءً على نسبة الدقة. وتم استخدام النموذج النهائي في التنبؤ، وأثبتت النتائج التجريبية كفاءة النموذج المُنفَّذ.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Issues CD Issues also as CD.
546 ## - LANGUAGE NOTE
Text Language Text in English and abstract in Arabic & English.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software Engineering
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element هندسة البرمجيات
653 #1 - INDEX TERM--UNCONTROLLED
Uncontrolled term Credit Risk
-- Microfinance
-- Data Mining Techniques
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Lamiaa Fattouh
Relator term thesis advisor.
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Atef Raslan
Relator term thesis advisor.
900 ## - Thesis Information
Grant date 01-01-2025
Supervisory body Lamiaa Fattouh
-- Atef Raslan
Universities Cairo University
Faculties Faculty of Graduate Studies for Statistical Research
Department Department of Software Engineering
905 ## - Cataloger and Reviser Names
Cataloger Name Shimaa
Reviser Names Eman Ghareb
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Edition 21
Suppress in OPAC No
Holdings
Source of classification or shelving scheme Home library Current library Date acquired Inventory number Full call number Barcode Date last seen Effective from Koha item type
Dewey Decimal Classification المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 14.12.2025 92794 Cai01.18.07.M.Sc.2025.Sa.C 01010110092794000 14.12.2025 14.12.2025 Thesis
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