A novel web authoritative page mining algorithm based on association analysis

doi:10.1109/KAM.2011.44

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	A novel web authoritative page mining algorithm based on association analysis
	Xiang-Wei, Li 1,2; Shuang-Ping, Zhao 1,2
	2011
会议日期	October 8, 2011 - October 9, 2011
会议地点	Sanya, China
关键词	Classification (of information) Data mining Information services Knowledge acquisition Websites Association analysis Association analysis method Frequency access crunodes Global information services Internet servers Mining algorithms User classification Vast forward paths
DOI	10.1109/KAM.2011.44
页码	136-138
英文摘要	Internet server as a distributing global information service center which produced much amount of data every time or every day, it is a very urgent need to get interesting and important information from internet efficiently and timely to everyone of us. Web consists of not only the amount of page, but also the structure link and the used recorder, which contain much useful and important information such as custom access action, the quality of the Web page and similar user classification. The paper make use of the user access sequences to produce the vast forward path, by the preprocessing get the frequent access crunodes, then introduce association analysis method in data mining to generating the authoritative sites. Finally, the instance illustrated the affectivity and feasibility. © 2011 IEEE.
会议录	Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116590]
专题	兰州理工大学
作者单位	1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, Gansu Province, China 2.Department of Computer Engineering, Lanzhou Polytechnic College, Lanzhou, Gansu Province, China;
推荐引用方式 GB/T 7714	Xiang-Wei, Li,Shuang-Ping, Zhao. A novel web authoritative page mining algorithm based on association analysis[C]. 见:. Sanya, China. October 8, 2011 - October 9, 2011.