| 基于K-means聚类算法的网络个性化学习行为研究 |
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| 引用本文： | 尹帮治.基于K-means聚类算法的网络个性化学习行为研究[J].荆门职业技术学院学报,2010,25(9):12-15,29. |
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| 作者姓名： | 尹帮治 |
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| 作者单位： | 河源市广播电视大学,工程技术教学部,广东,河源,517000 |
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| 基金项目： | 2008年度广东远程开放教育科研基金项目 |
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| 摘 要： | 聚类是指按照事物间的相似性对事物进行区分和分类的过程。对网络个性化学习行为中的大量数据,首先对样本数据进行了预处理,然后运用数据挖掘算法中的K-means算法进行分类,获取各类与网络学习行为属性的关系。在Clementine中的实验结果表明,该算法能够将数据准确聚类,为教师教学培养目标的制定提供一定的决策支持。
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| 关 键 词： | 数据挖掘 K-means算法 聚类分析 个性化学习行为 |
Analysis and Research of the Network Personalized Learning Behavior Based on K-means Clustering Algorithm |
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| YIN Bang-zhi.Analysis and Research of the Network Personalized Learning Behavior Based on K-means Clustering Algorithm[J].Journal of Jingmen Vocational Technical College,2010,25(9):12-15,29. |
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| Authors: | YIN Bang-zhi |
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| Institution: | YIN Bang-zhi (Engineering Technique Teaching Department,Heyuan Radio ＆ TV University,Heyuan,Guangdong,517000,China) |
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| Abstract: | Clustering is a distinction between things and classification process which refers to things in accordance with the similarity.For numbers of data of the personalized learning behavior on the internet,the paper preprocessed the sample data first,then used the K-means algorithm of data mining classifies the sample data.It can acquire the relationship between each of classification learning behavior of the attributes on the Internet.The experimental results in Clementine show that it can be Clustered accuracy and formulate training objectives provide decision support in teaching process for teachers. |
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| Keywords: | data mining K-means algorithm cluster analysis personalized learning behavior clementine |
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