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Development of a website-based decision tree system in data mining concept

机译:基于网站的数据挖掘概念决策树系统的开发

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Vocational replacements suddenly make complicated matters in Vocational High School. Vocational moves often occur in early classes such as before mid-odd semester or during the period of student guidance. This condition causes existing data from the acceptance of new learners to related sections, initially used for attendance data, report card and financial data will change drastically. Sources of data to be used as research objects, taken from the data acceptance of new learners last 5 years. The problem of this vocational movement can be predicted by using one of the concept of data mining that is decision tree with website based so that it can assist the manager in preparing the administration comprehensively and on time. This research uses C4.5 algorithm with PHP programming language as a tool to determine decision tree from selected sample data. The purpose of developing this system will produce a rule that can be implemented to predict the likelihood of a vocational transfer student in Vocational High School.
机译:职业替代在职业高中突然变得复杂。职业迁移通常发生在早期课程中,例如学期中期之前或在学生指导期间。这种情况会导致从接受新学习者到相关部分的现有数据,最初用于出勤数据,成绩单和财务数据的数据将发生巨大变化。数据来源用作研究对象,取自最近5年的新学习者对数据的接受。可以通过使用数据挖掘的概念之一(基于网站的决策树)来预测此职业运动的问题,以便它可以帮助管理者按时全面地准备行政管理。本研究使用带有PHP编程语言的C4.5算法作为从选定样本数据确定决策树的工具。开发该系统的目的将产生一个可以实施的规则,以预测职业高中中转职业学生的可能性。

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