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首页> 外文期刊>International journal of intelligent engineering informatics >Rough set-based meta-heuristic clustering approach for social e-learning systems
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Rough set-based meta-heuristic clustering approach for social e-learning systems

机译：基于粗糙集的元启发式社会电子学习系统聚类方法

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摘要

An imperative challenge of Web 2.0 is the way that an incredible measure of information has been incited over a brief time. Tags are generally used to dig and arrange the Web 2.0 resources. Clustering the tag information is exceptionally dreary since the tag space is significant in a few social tagging sites. Tag clustering is the method of collecting the comparative tags into groups. The tag clustering is truly helpful for searching and arranging the Web 2.0 resources furthermore vital for the achievement of social tagging systems. In this paper, the clustering techniques apply to the social e-learning tagging system; furthermore, we proposed a hybrid tolerance rough set-based particle swarm optimisation (TRS-PSO) for clustering tags. At that stage, the proposed technique is contrasted with benchmark clustering algorithm k-means with particle swarm optimisation (PSO)-based grouping method. The exploratory investigation represents the character of the suggested methodology.
机译：Web 2.0的当务之急是在短时间内激发令人难以置信的信息度量方式。标签通常用于挖掘和安排Web 2.0资源。由于标签空间在一些社交标签站点中很重要，因此对标签信息进行聚类非常困难。标签聚类是将比较标签分组的方法。标签集群对于搜索和安排Web 2.0资源确实很有帮助，此外对于实现社会标签系统也至关重要。本文将聚类技术应用于社交电子学习标签系统。此外，我们提出了一种基于混合容差粗糙集的粒子群优化算法（TRS-PSO），用于聚类标签。在那个阶段，该技术与基准聚类算法k-means和基于粒子群优化（PSO）的分组方法形成对比。探索性调查代表了所建议方法的特征。

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    S. Selva Kumar; H. Hannah Inbarani; Ahmad Taher Azar; Aboul Alla Hassanien;

  • 作者单位

    Department of Computer Science, Periyar University, Salem 636011, Tamil Nadu, India and Faculty of Computers and Information, Benha University, Benha, Egypt and Faculty of Computer and Information, Cairo University, Cairo, Egypt;

    Department of Computer Science, Periyar University, Salem 636011, Tamil Nadu, India and Faculty of Computers and Information, Benha University, Benha, Egypt and Faculty of Computer and Information, Cairo University, Cairo, Egypt;

    Department of Computer Science, Periyar University, Salem 636011, Tamil Nadu, India and Faculty of Computers and Information, Benha University, Benha, Egypt and Faculty of Computer and Information, Cairo University, Cairo, Egypt;

    Department of Computer Science, Periyar University, Salem 636011, Tamil Nadu, India and Faculty of Computers and Information, Benha University, Benha, Egypt and Faculty of Computer and Information, Cairo University, Cairo, Egypt;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    clustering; tolerance rough set; e-learning; PSO clustering; k-means;

    机译：集群公差粗集电子学习;PSO集群;k均值;

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