Novel supervised and semi-supervised learning methods for handling class imbalance in customer churn prediction / (Record no. 179158)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04727namaa22004331i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GICUC |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20260415131718.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260402s2025 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 | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.13.06.Ph.D.2025.Sa.N |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Salma Abdelmonem Abdelmotaleb Mohamed, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Novel supervised and semi-supervised learning methods for handling class imbalance in customer churn prediction / |
| Statement of responsibility, etc. | by Salma Abdelmonem Abdelmotaleb Mohamed ; Supervisors Prof. Samir Ibrahim Shaheen, Dr. Dina Ahmed Mohamed Elreedy. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | طرق مبتكرة للتعلم من البيانات المصنفة و البيانات شبه المصنفة في ظل عدم توازن البيانات وتطبيقها في توقع مغادرة العملاء |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 106 pages : |
| 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 (Ph.D)-Cairo University, 2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 95-106. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | Customer churn prediction involves identifying which customers are likely<br/>to leave or discontinue using a service. While using machine learning tech-<br/>niques can be beneficial for this prediction, there are some challenges that<br/>arise from the characteristics of the datasets involved. In this thesis, we<br/>present novel two supervised and semi-supervised approaches for learning<br/>from class-imbalanced datasets like in customer churn prediction applica-<br/>tions. First, we propose a novel algorithm-level adaptation to the supervised<br/>Gaussian Process Classifier (CIRA) which can effectively learn from unbal-<br/>anced datasets. Second, we propose a class imbalanced safe semi-supervised<br/>approach (CISL) in a secure advanced self-training approach which can suc-<br/>cessfully acquire knowledge from the limited labeled imbalanced datasets. We<br/>conduct experiments on imbalanced benchmark datasets and real customer<br/>churn prediction datasets. The experimental results, supported with statis-<br/>tical significance tests, demonstrate consistent performance enhancements<br/>using different performance measures. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | في هذه الرسالة، نقدم طرقًا جديدة في التعلم الآلي باستخدام البيانات المكتملة والبيانات غير المكتملة للتعلم الآلي برغم عدم توازن البيانات كما هو الحال في تطبيقات توقع مغادرة العملاء. أولاً، نقدم تعديلًا جديدًا على خوارزمية مشهورة في التعلم الآلي باستخدام البيانات المكتملة. يُمَكِن التعديل المقترح، الخوارزمية من التعلم بفعالية من مجموعات البيانات غير المتوازنة. ثانيًا، نقترح طريقة آمنة للتعلم من البيانات غير المكتملة وغير المتوازنة بحيث تكون كفاءة البرنامج مضمونة مسبقًا. للتحقق من كفاءة الطرق المقدمة، أجرينا تجارب على مجموعات بيانات مكتملة غير متوازنة، ومجموعات بيانات غير مكتملة وغير متوازنة، ومجموعات بيانات حقيقية شهيرة لتوقع مغادرة العملاء. تُظهر النتائج التجريبية، المدعومة باختبارات الدلالة الإحصائية، تحسينات مستمرة وثابتة في الأداء باستخدام معايير قياس أداء مختلفة. |
| 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 | Computer Engineering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | هندسة الحاسبات |
| 653 #1 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Customer Churn Prediction |
| -- | Class imbalance |
| -- | Supervised Learning |
| -- | Semi- supervised Learning |
| -- | Safe Semi-supervised Learning |
| -- | Gaussian Process Clas- sifier |
| -- | Self Training |
| -- | Pseudo Labeling |
| -- | Ratio Sampling |
| -- | Safety Checking |
| -- | التعلم الآلي |
| -- | التعلم من البيانات المكتملة |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Samir Ibrahim Shaheen |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dina Ahmed Mohamed Elreedy |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2025 |
| Supervisory body | Samir Ibrahim Shaheen |
| -- | Dina Ahmed Mohamed Elreedy |
| Discussion body | Reda Abdel-Wahab El-Khoribi |
| -- | Mohamed Zaki Abdelmegeed |
| Universities | Cairo University |
| Faculties | Faculty of Engineering |
| Department | Department of Computer 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 |
| 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 | 02.04.2026 | 93649 | Cai01.13.06.Ph.D.2025.Sa.N | 01010110093649000 | 02.04.2026 | 02.04.2026 | Thesis |