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Total records found : 2
Simplified search suggestions : Nor Azziaty Abdul Rahman
12017
Article
Supervised and unsupervised learning in data mining for employment prediction of fresh graduate students
Abdul Rahman Nor Azziaty, Tan Kian Lam, Lim Chen Kim,
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22020
Thesis
Data mining and predictive analysis on the employment of fresh graduate students in public universities in Malaysia
Nor Azziaty Abdul Rahman
This study was aimed to use data mining to predict the employment of fresh graduate students in public universities in Malaysia. The research design of the study was model development using Rapid Miner Studio. The model used both supervised and unsupervised machine learning algorithms including k-Nearest Neighbor (kNN), Naïve Bayes, Decision Tree, Logistic Regression, Support Vector Machine (SVM) and Neural Network. The sample consisted of 16,729 fresh graduate students were collected from the Tracer Study Unit of Ministry of Higher Education (MOHE). In order to build the classification model, Cross Industry Standard Process for Data Mining (CRISP-DM) methodology was applied. For the evaluation, 70% of the dataset were used as the training set and the remaining 30% were used as a testing set. To determine the error rate and to justify the accuracy of the proposed model objectively, classification error was used as the evaluation metric. The key finding of the predictive analysis revea.....

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