Lanzhou University of Technology Institutional Repository (LUT_IR)
A novel web authoritative page mining algorithm based on association analysis | |
Xiang-Wei, Li1,2; Shuang-Ping, Zhao1,2 | |
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
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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. |
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