图 书 馆
网络中具有成本效益的爆发检测Cost-effective Outbreak Detection in Networks |
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| 课程网址: | http://videolectures.net/solomon_leskovec_ceod/ |
| 主讲教师: | Jure Leskovec |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2007-10-24 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Which blogs should we read to avoid missing important information? Where should we place sensors in a water distribution network to quickly detect contaminants? These seemingly different problems share common structure: Outbreak detection can be modeled as a problem of selecting nodes (blogs, sensor locations, ...) in a network, in order to detect the spreading of a virus or information as quickly as possible. We present a general methodology for near optimal sensor placement in these and related problems. We demonstrate that many realistic outbreak detection objectives (e.g., detection likelihood, population affected) exhibit the property of “submodularity’’. We exploit submodularity to develop an efficient algorithm that scales to large problems, provably achieving near optimal placements, while being 700 times faster than a simple greedy algorithm. We evaluate our approach on several large real-world problems, including a model of a water distribution network, and real blog data. We also show how the approach leads to deeper insights in both applications, answering multicriteria trade-off, cost-sensitivity and generalization questions. |
| 关 键 词: | 博客; 重要信息; 传感器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-31：王勇彬(课程编辑志愿者) |
| 阅读次数: | 105 |