记笔记

Embedding Na?ve Bayes Algorithm Data Model in Predicting Student Graduation

Ace C.LagmanJoseph Q.CallejaMa.Corazon G.FernandoJoseph G.GonzalesJohn Benedict LegaspiJohn Heland Jasper C.OrtegaRonel F.RamosMaria Vicky S.SolomoRegina C.Santos

FEU Institute of Technology

摘要：In the Philippines,according to Philippine Authority of Statistics,there is an imbalance between the student enrollment and student graduation.Almost half of the first-time freshmen full time students who began seeking a bachelor’s degree do not graduate on time.The study aims to utilize how Na?ve Bayes algorithm-a data classification algorithm that is based on probabilistic analysis-can be used in educational data mining specifically in student graduation.The study is focused on the application of the Na?ve Bayes algorithm in predicting student graduation by generating a model that could early predict and identify students who are prone of not having graduation on time,so proper remediation and retention policies can be formulated and implemented by institutions.

关键词：

Na?ve Bayes; machine learning algorithm; data mining; student graduation; prediction; Big Data Analytics; classification algorithm;

会议名称：

2019 the 3rd International Conference on Telecommunications and Communication Engineering （ICTCE 2019）

会议时间：

2019-11-09

会议地点：

日本东京