An enhanced approach for mobile telecom network analysis using big data platform / Mohamed Mostafa Mohamed ; Supervised Hesham Hefny , Abdelaziz Ahmed
Material type: TextLanguage: English Publication details: Cairo : Mohamed Mostafa Mohamed , 2020Description: 117 Leaves : charts ; 30cmOther title:- أسلوب مجود لتحليل شبكات تواصل الهاتف المحمول بإستخدام منصة البيانات الضخمة [Added title page title]
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2020.Mo.E (Browse shelf(Opens below)) | Not for loan | 01010110081995000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2020.Mo.E (Browse shelf(Opens below)) | 81995.CD | Not for loan | 01020110081995000 |
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Cai01.18.02.M.Sc.2020.He.M A machine learning technique for detecting water quality based on algal growth / | Cai01.18.02.M.Sc.2020.He.M A machine learning technique for detecting water quality based on algal growth / | Cai01.18.02.M.Sc.2020.Mo.E An enhanced approach for mobile telecom network analysis using big data platform / | Cai01.18.02.M.Sc.2020.Mo.E An enhanced approach for mobile telecom network analysis using big data platform / | Cai01.18.02.M.Sc.2020.Mo.H Hybrid approach to recognize learners behaviors using facial expressions and machine learning / | Cai01.18.02.M.Sc.2020.Mo.H Hybrid approach to recognize learners behaviors using facial expressions and machine learning / | Cai01.18.02.M.Sc.2020.Ra.E An enhanced approach for arabic sentiment analysis using deep learning / |
Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Computer and Information Science
Social Network Analysis (SNA) is concerned with the relationships between people, organizations, groups, or entities as well as the flow of information among them. It shows how one node in the network can affect the others. Telecom operators have major issues when deciding to spend on offers and campaigns that much. Traditional targeting techniques have the drawback of treating every client as an individual apart from his social interactions and relationships. They also can not promote certain ideas and products to a group of people with a shared characteristic or common interest. Telecom operators are suffering from pinpointing the relationship between their clients such as a family, friends, co-workers or others, as well as detecting the most connected client that has an effect on others
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