[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
Improving medical rule-based expert systems comprehensibility: Fuzzy Association Rule Mining approach
  • Home
  • »
  • Profiles
  • »
  • Oladipupo Olufunke
  • »
  • Improving medical rule-based expert systems comprehensibility:...

Improving medical rule-based expert systems comprehensibility: Fuzzy Association Rule Mining approach

~ 1458da0157b806819ef1622980d8d2e5.200x200
In this paper, a Fuzzy Association Rule Mining (FARM) with expert-driven approach is proposed to acquire a knowledge-base, which corresponds more intuitively to human perception with a high comprehensibility. This approach reduces the number of rules in the knowledge-base when compared with the Standard Rule-base Formulation (SRF) and makes possible the rating of the rules according to their...
 
Published at International Journal of Artificial Intelligence and Soft Computing. Vol. 3, No. 1, 2012. pp. 29-18. Copyright © 2012. Inderscience Enterprises Ltd.
Published in 2012
 
Download 287.98 kB
 
 
 
Olufunke O.Oladipupo; Charles O. Uwadia, Charles K. Ayo
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
 
A Data mining Process Framework for Churn Management in Mobile Telecommunication Industry
 
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
 
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
    •  
    •  
    •  
    •  
    •  
    •  
    •