计算机工程与应用2019，Vol.55Issue(18)：15-20,6.DOI:10.3778/j.issn.1002-8331.1905-0187
融合静态与动态建模的网络事件聚合方法
Combination of Static and Dynamic Modeling for Network Event Aggregation
摘要
Abstract
Internet is an important source of information and a lot of news websites have become the main places for gen-erating and propagating information. Most information on Internet is irregular, noisy and dynamic. To organize and aggre-gate the information effectively, this paper proposes a method combining a static model and a dynamic model for network event aggregation. The static model clusters textual documents based on the similarity of content, and the dynamic one is to describe the dynamic process of network events based on Hidden Markov Models(HMMs)and determines whether the current news follow the law of event development. The proposed method describes network events based on both static content and dynamics instead of only the former used in a lot of previous studies, which benefits the recognition of net-work events. The experiment is conducted on a real-world dataset, and the experimental results demonstrate the effec-tiveness of the proposed method in network event aggregation.关键词
事件聚合/动态发展规律/动态时序模型/静态建模Key words
event aggregation/dynamic development law/dynamic time series model/static modeling分类
信息技术与安全科学引用本文复制引用
张敏华,杜友田,王倩..融合静态与动态建模的网络事件聚合方法[J].计算机工程与应用,2019,55(18):15-20,6.基金项目
国家自然科学基金(No.61375040) （No.61375040）
国家自然科学基金重点项目(No.U1736205) （No.U1736205）
陕西省自然科学基金(No.2019JM-424). （No.2019JM-424）
