基于校园网日志的实时在线评价方法

Zhiqiang Li, Kaizhong Chen, Hongchen Guo
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引用次数: 0

摘要

网瘾是当今一个严重的社会问题。网瘾患者通常会花很多时间在网上,这是没有有效的技术方法来评估的。提出了一种基于网络日志的在线时间评价方法。该方法将每个帐户的网络日志的相邻时间戳收集到一个集群中,该集群可以视为一个时间段。所有期间的总和是该帐户的总在线时间。此外,我们在数据分析和聚类中应用了并行处理。在实际数据集上的实验表明,该方法对实时在线评价是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A time online evaluation method over campus network log
Internet addiction is a serious social problem nowadays. People with internet addiction usually spend much time on line, which there is no effectively technical way to evaluate. We propose a time-online evaluating method based on net log. The method gathers adjacent timestamps of every account's network log into a cluster, which can be seen as a time period. The sum of all periods is the account's total time online. Besides, we apply parallel processing in the data analysis and cluster. The experiments on real datasets show that this method is effective for time online evaluation.
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