Online hot event discovery based on Association Link Network

doi:10.1002/cpe.3374

	Online hot event discovery based on Association Link Network
	Liu, Yang 1; Luo, Xiangfeng 1,2; Xuan, Junyu 1
	2015-10-01
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN	1532-0626
卷号	27 期号:15 页码:4001-4014
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.
关键词	online event discovery Association Link Network event detection event tracking community detection
DOI	10.1002/cpe.3374
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000363042100013
出版者	WILEY-BLACKWELL
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9224
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.Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, 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.