Online hot event discovery based on Association Link Network
文献类型：期刊论文
| 作者 | Liu, Yang2; Luo, Xiangfeng1,2; Xuan, Junyu2 |
| 刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
 |
| 出版日期 | 2015-10-01 |
| 卷号 | 27期号:15页码:4001-4014 |
| 关键词 | online event discovery Association Link Network event detection event tracking community detection |
| ISSN号 | 1532-0626 |
| DOI | 10.1002/cpe.3374 |
| 英文摘要 | Online hot event discovery has become a flourishing frontier where online document streams are monitored to discover newly occurring events or assigned to previously detected events. However, hot events have the nature to evolve, and their inherent topically related words are also likely to evolve. It makes event discovery a challenging task for traditional-mining approaches. Combining word association and semantic community, Association Link Network (ALN) organizes the loosely distributed associated resources. This paper presents an ALN-based novel online hot event discovery approach. Technically, this approach is enacted around three stages. In the first stage, we extract significant features to represent the content of each document from the online document stream. During the second stage, we classify the online document stream into topically related detected events considering event evolution in the form of ALN. At the third stage, we create an ALN-based event detection algorithm, which is used to timely discover newly occurring hot events. The online datasets used in our empirical studies are acquired from Baidu News, which spans a range of 1315 hot events and 236,300 documents. Experimental results demonstrate the hot events discovery ability with respect to high accuracy, good scalability, and short runtime. Copyright (C) 2014 John Wiley & Sons, Ltd. |
| 资助项目 | National Science Foundation of China[91024012] ; National Science Foundation of China[91324005] ; Key Innovation Program of Shanghai Municipal Education Commission[13ZZ064] ; Opening Foundation of Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, the Chinese Academy of Sciences[IIP 2012-2] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000363042100013 |
| 出版者 | WILEY-BLACKWELL |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/9223]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Luo, Xiangfeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yang,Luo, Xiangfeng,Xuan, Junyu. Online hot event discovery based on Association Link Network[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2015,27(15):4001-4014. |
| APA | Liu, Yang,Luo, Xiangfeng,&Xuan, Junyu.(2015).Online hot event discovery based on Association Link Network.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,27(15),4001-4014. |
| MLA | Liu, Yang,et al."Online hot event discovery based on Association Link Network".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 27.15(2015):4001-4014. |
入库方式： OAI收割
来源：计算技术研究所
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