系统管理事件汇总Event Summarization for System Management |
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课程网址: | http://videolectures.net/kdd07_peng_esfsm/ |
主讲教师: | Wei Peng |
开课单位: | 佛罗里达大学 |
开课时间: | 2007-08-14 |
课程语种: | 英语 |
中文简介: | 在系统管理应用程序中,以时间事件的形式生成和收集大量数据。虽然挖掘时间事件数据以发现有趣和频繁的模式已经获得了快速增长的研究工作,但是应用程序的用户被挖掘结果所淹没。提取的模式通常具有大量且难以解释,对于非专家,甚至对于领域专家而言,它们可能没有重点,错综复杂且毫无意义。虽然传统的研究工作集中在寻找有趣的模式,但在本文中,我们采用一种称为事件总结的新方法来理解看似混乱的时态数据。事件摘要旨在提供对看似混乱的数据的简明解释,以便领域专家可以对概括的模型采取行动。事件概括将时间信息分解为许多独立子集,并找到适合于描述每个子集的模型。 |
课程简介: | In system management applications, an overwhelming amount of data are generated and collected in the form of temporal events. While mining temporal event data to discover interesting and frequent patterns has obtained rapidly increasing research efforts, users of the applications are overwhelmed by the mining results. The extracted patterns are generally of large volume and hard to interpret, they may be of no emphasis, intricate and meaningless to non-experts, even to domain experts. While traditional research efforts focus on finding interesting patterns, in this paper, we take a novel approach called event summarization towards the understanding of the seemingly chaotic temporal data. Event summarization aims at providing a concise interpretation of the seemingly chaotic data, so that domain experts may take actions upon the summarized models. Event summarization decomposes the temporal information into many independent subsets and finds well fitted models to describe each subset. |
关 键 词: | 系统管理应用程序; 时态数据; 时间事件 |
课程来源: | 视频讲座网 |
最后编审: | 2019-05-09:lxf |
阅读次数: | 30 |