[Skip to Content]
    • Covenant University
  • About Us
  • Admissions
  • Colleges
  • Library
  • News
  • Research
  • Covenant Journals
  • Covenant Documents
  • Conferences 2020
  • OER
  • Alumni
  • ICAI 2020
  • My Account
  • Webmail
  • Profiles
A Data mining Process Framework for Churn Management in Mobile Telecommunication Industry
  • Home
  • »
  • Profiles
  • »
  • Oladipupo Olufunke
  • »
  • A Data mining Process Framework for Churn Management in Mobile...

A Data mining Process Framework for Churn Management in Mobile Telecommunication Industry

~ 8403f77b6f086ce00531d4a2a6923a56.200x200
Churning which is a sudden defection of a subscriber to competitors is a disturbing problem in the global telecommunication industry. However, the effectiveness of existing churn control strategies can be improved if an integrated approach that incorporates several dimensions of the phenomenon of churning is adopted. In contrast to existing approaches, this paper proposes an integrated approach...
 
Published at International Journal of Computer Sciences and Systems, Vol.1 No1., 2009, pp. 39-45.
Published in 2009
 
Download 173.76 kB
 
 
 
Daramola, J.O., Oladipupo, O.O. and Musa, A.G
Oladipupo Olufunke
 
Other publications by this author (view profile)
 
 
Application of Fizzy Logic in Decision Making on Student’s academic performance.
 
Effect of Update Anomalies on Herbarium Database Disk Assess
 
Normalization of plant database of a Herbarium
 
comparison of Fuzzy and Deterministic Models for assessing Students’ Performance
 
Comparative Analyses between Split and HierarchyMap Treemap Algorithms for Visualizing Hierarchical Data
 
Design and Implementation of Text To Speech Conversion for Visually Impaired People
 
A Fuzzy Expert System (FES) Tool for Online Personnel Recruitment
 
Using Ontology-based Information Extraction Approach for Subject-based Auto-Grading
 
Cognitive Ontology based Framework for Networking Women in Sciences
 
Design of a Fuzzy Ranking System for Admission Processes in Higher School of Learning
 
On sharp boundary problem in rule-based expert systems in medical domain’
 
A Fuzzy Association Rule Mining Expert-Driven (FARME-D) approach to Knowledge acquisition.
 
A Fuzzy-Mining Approach for Solving Rule Based Expert System Unwieldiness in Medical Domain
 
DEVELOPING AN INTERACTIVE STUDENT RECRUITMENT PORTAL FOR UNIVERSITY-INDUSTRY COOPERATION IN NIGERIA
 
ANALYSIS OF THE EFFECT OF CLASS ATTENDANCE ON STUDENTS' ACADEMIC PERFORMANCE USING ASSOCIATION RULE MINING TECHNIQUE
 
HEURISTIC EVALUATION OF A MOODLE-BASED E-LEARNING PLATFORM
 
Implementation of secured Message Transmision using DES and RSA Cryptosystem.
 
Knowledge Discovery from Students’ Result Repository: Association Rule Mining Approach
 
Application of k-Means Clustering algorithm for prediction of Students’ Academic Performance
 
Improving medical rule-based expert systems comprehensibility: Fuzzy Association Rule Mining approach
 
Application of Fuzzy Association Rule Mining for Analysing Students Academic Performance
 
Design and Implementation of Meetings Document Management and Retrieval System
  •  
     
  • ©2021 Covenant University | Sitemap | Contact Us
    •  
    •  
    •  
    •  
    •  
    •  
    •