Classification Performance Enhancement for Students Realisation Model | Zendy

Tarik A. Rashid | Zendy

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Classification Performance Enhancement for Students Realisation Model

Author(s) -

Tarik A. Rashid

Publication year - 2015

Publication title -

journal of zankoy sulaimani - part a

Language(s) - English

Resource type - Journals

eISSN - 2521-4853

pISSN - 1812-4100

DOI - 10.17656/jzs.10416

Subject(s) - realisation , task (project management) , computer science , realization (probability) , support vector machine , artificial intelligence , artificial neural network , selection (genetic algorithm) , machine learning , feature selection , feature (linguistics) , data mining , engineering , mathematics , systems engineering , statistics , linguistics , philosophy , physics , quantum mechanics

Original: 20 Apr. 2015 Revised: 6 June 2015 Accepted: 25 June 2015 Published online: 20 Sep. 2015 This research work aims at enhancing a classification task for student’s realisation model at Salahadin University, Hawler, Kurdistan. 1000 records of data from different colleges and departments at Salahadin University are collected to conduct this research work. The collected data has been pre-processed, cleaned, filtered, normalized, then after, feature selection techniques are applied to reduce the dimensionally of the data, finally a classification task is carried out to find the realization of students. The results show that a model of Support Vector Machine +Genetic Algorithm + Artificial Neural Network produces promising results than other models.

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