A novel web authoritative page mining algorithm based on association analysis

doi:10.1109/KAM.2011.44

	A novel web authoritative page mining algorithm based on association analysis
	Xiang-Wei, Li 1,2; Shuang-Ping, Zhao 1,2
	2011
会议名称	2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
会议录名称	Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
页码	136-138
会议日期	October 8, 2011 - October 9, 2011
会议地点	Sanya, China
出版者	IEEE Computer Society
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.
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
收录类别	EI
语种	英语
EI入藏号	20120914804706
EI主题词	Electronic document exchange
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 903.1 Information Sources and Analysis - 903.4 Information Services
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116590
专题	兰州理工大学
作者单位	1.Department of Computer Engineering, Lanzhou Polytechnic College, Lanzhou, Gansu Province, China; 2.Key Laboratory of Gansu Advanced Control for Industrial Processes, 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]:IEEE Computer Society,2011:136-138.