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

机译:数据挖掘概念中基于网站决策树系统的开发

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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:职业替代突然在职业高中做出复杂的事项。职业病常常发生在奇数学期或学生指导期间之前的早期课程。这种情况导致现有数据从接受新的学习者到相关的部分,最初用于出席数据,报告卡和财务数据将大大变化。要用作研究对象的数据来源,从过去5年中取自新学习者的数据接受。通过使用基于网站的数据挖掘的一个概念,可以预测这种职业运动的问题,这是基于网站的决策树,以便它可以协助经理全面和准时地准备管理。本研究使用C4.5算法使用PHP编程语言作为从所选示例数据确定决策树的工具。开发该系统的目的将产生规则,可以实施,以预测职业高中职业转移学生的可能性。

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