| 基于FP-Growth算法的毕业生管理系统的研究与应用 |
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| 引用本文： | 张红荣.基于FP-Growth算法的毕业生管理系统的研究与应用[J].德州学院学报,2014(2):61-66. |
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| 作者姓名： | 张红荣 |
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| 作者单位： | 宿迁市广播电视大学,江苏宿迁223800 |
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| 摘 要： | 关联规则是数据挖掘的重要内容之一.Apriori算法是关联规则挖掘的经典算法,本文对Apriori算法和改进后的FP-Growth算法进行了深入的研究,并以实际的案例进行了算法解析,通过对两种算法的比较与分析,选择FP-Growth算法应用到毕业生信息管理系统中,从大量的毕业生信息出发,找出就业信息与教育信息之间的关系,从而为决策者提供指导或数据支持,指导目前的专业建设、课程改革,促进学校的教学改革,提高人才培养质量.
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| 关 键 词： | 关联规则 毕业生管理系统 研究 |
The Research and Application of Graduate Management System Based on FP--Growth Algorithm |
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| Institution: | ZHANG Hong- rong (Suqian Radio ＆ Television University, Suqian Jiangsu 223800,China) |
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| Abstract: | The data mining association rules is an important part . Apriori algorithm is a classical algorithm for mining association rules , Apriori algorithm and improved FP-Growth algorithm are conducted in-depth research , and actual cases of the algorithm to parse through the comparison of the two algorithms and analysis, selection FP -Growth algorithm is applied to graduate information management systems, in a large information of graduates , the algorithm can find out the relationship betwean information of education and information of employment, so as to provide guidance or data to support decision-makers to guide our current professional development, curriculum reform, promoting the teaching reform , improve quality of personnel training . |
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| Keywords: | association rules graduate management system research |
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