图 书 馆
新闻数据的潜在距离图Latent distance graphs from news data |
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| 课程网址: | http://videolectures.net/sikdd2019_bizjak_latent_distance_graphs/ |
| 主讲教师: | Luka Bizjak |
| 开课单位: | Jožef Stefan研究所人工智能实验室 |
| 开课时间: | 2019-11-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Network analysis is one of the main topics in modern data analysis, since it enables us to reason about systems by studying their inner relations, for example we can study a network by analyzing its edges. However, in many cases it is impossible to detect or measure the network directly, due to noisy data for example. We present a method for dealing with such systems, more concretely we present a probabilistic model called latent distance network, which we use to model news data from EventRegistry. In the end of the article we also present experimental results on predictions of latent distance model with methods of machine learning |
| 关 键 词: | 数据挖掘; 新闻数据; 潜在距离图 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-14：cyh |
| 最后编审: | 2022-09-19：cyh |
| 阅读次数: | 27 |