Oladipupo Olufunke

Contents

  1. College
  2. School
  3. Department
  4. Programme
  5. Research Interests
  6. Teaching Areas
  7. Selected Publications (23)
  8. Curriculum Vitae

Dr. Olufunke Oladipupo

Associate Professor (Computer Science)

B.Sc (1999), M.Sc (2004), Ph.D (2012)

College

College of Science and Technology

School

Departments

Department

Computer & Information Sciences

Programme

Computer Science

Research Interests

Artifical intelligence, Data mining, SoftComputing, Expert System

Teaching Areas

Fuzzy Logic
Neural Network
Theory of computing
Database Design and Management
Programming Languages (Visual basic, C#)
Operation Research
Logic Programming (Prolog)

Decision Support system

Artificial Intelligence
Machine learning

Expert system

Selected Publications (23)

1. Implementation of secured Message Transmision using DES and RSA Cryptosystem.

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2. HEURISTIC EVALUATION OF A MOODLE-BASED E-LEARNING PLATFORM

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3. ANALYSIS OF THE EFFECT OF CLASS ATTENDANCE ON STUDENTS' ACADEMIC PERFORMANCE USING ASSOCIATION RULE MINING TECHNIQUE

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4. DEVELOPING AN INTERACTIVE STUDENT RECRUITMENT PORTAL FOR UNIVERSITY-INDUSTRY COOPERATION IN NIGERIA

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5. A Fuzzy-Mining Approach for Solving Rule Based Expert System Unwieldiness in Medical Domain

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6. A Fuzzy Association Rule Mining Expert-Driven (FARME-D) approach to Knowledge acquisition.

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7. On sharp boundary problem in rule-based expert systems in medical domain’

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8. Design of a Fuzzy Ranking System for Admission Processes in Higher School of Learning

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9. Cognitive Ontology based Framework for Networking Women in Sciences

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10. Using Ontology-based Information Extraction Approach for Subject-based Auto-Grading

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

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12. A Fuzzy Expert System (FES) Tool for Online Personnel Recruitment

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13. Design and Implementation of Text To Speech Conversion for Visually Impaired People

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14. Comparative Analyses between Split and HierarchyMap Treemap Algorithms for Visualizing Hierarchical Data

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15. comparison of Fuzzy and Deterministic Models for assessing Students’ Performance

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16. Normalization of plant database of a Herbarium

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17. Effect of Update Anomalies on Herbarium Database Disk Assess

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18. Application of Fizzy Logic in Decision Making on Student’s academic performance.

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19. Design and Implementation of Meetings Document Management and Retrieval System

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20. Application of Fuzzy Association Rule Mining for Analysing Students Academic Performance

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

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22. Application of k-Means Clustering algorithm for prediction of Students’ Academic Performance

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23. Knowledge Discovery from Students’ Result Repository: Association Rule Mining Approach

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Curriculum Vitae

Olufunke Oyejoke Oladipupocv2.pdf 363.50 kB
 
 
Last Updated:

03/26/2018 11:50 am