图 书 馆
一种基于上下文感知的自适应数据流挖掘体系结构An architecture for context-aware adaptive data stream mining |
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| 课程网址: | http://videolectures.net/ecml07_mohamed_acac/ |
| 主讲教师: | Mohamed Medhat Gaber |
| 开课单位: | 蒙纳士大学 |
| 开课时间: | 2008-01-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In resource-constrained devices, adaptation of data stream processing to variations of data rates, availability of resources and environment changes is crucial for consistency and continuity of running applications. Context-aware adaptation, as a new dimension of research in data stream mining, enhances and optimizes distributed data stream processing tasks. Context-awareness is one of the key aspects of ubiquitous computing as applicationsC¸ successful operations rely on detecting changes and adjusting accordingly. This paper presents a general architecture for context-aware adaptive mining of data streams that aims to dynamically and autonomously adjust data stream mining parameters according to changes in context and resource availability in distributed and heterogeneous computing environments. |
| 关 键 词: | 数据流; 普适计算; 异构计算 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-23：lxf |
| 阅读次数: | 50 |