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DATA MINING TECHNIQUES IN ANALYSIS OF STUDENT COURSE OF STUDY

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style: APA
  • Recommended for : Student Researchers
  • NGN 5000

Abstract

 

Data mining has a great deal of attention in the information industry in recent year due to the wide availability of high amount of data and the useful information and knowledge. This project is based on the Application of Data mining techniques’ in Analysis of student course of study, that is, to predict course of study for a student that does not meet up with the school cutoff point for post uptime  classification algorithm were used in analyzing the data with the incorporation of a relational data base management system. Conclusively, we have been able to develop software that will generate course of study for students in faculty of science and Engineering.     

 

 

 

 

 




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