Intelligent Web Mining to Ameliorate Web Page Rank using Back-Propagation Neural Network

被引：0
|
作者：
Malhotra, Dheeraj [1 ]
机构：
[1] Univ Kota, Dept Comp Sci & Informat, Kota, Rajasthan, India
来源：
2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE) | 2014年
关键词：
Web Neural Mining; Back Propagation Neural Networks; Web Page Ranking; Intelligent Mining;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In a short span of time, less than 15 years, the web search process is modified enormously because of magnificent growth in web based information resources. The speedy expansion of web is enjoyable because of the increase in information resources but at the same time its huge size and interference of SEOs in search process lead to increased difficulty in extracting relevant information from the web. Personalized web search may be the solution to relevancy problem but user is reluctant in giving his personal information because of privacy concerns [1]. Moreover most existing web mining algorithms do not possess attractive time and space complexities and hence lead to sufferings of novice user. This paper addresses above mentioned issues of Search Engine domain and intends to implement intelligent web mining in the form of Web Page Ranking Tool so as to improve the web page ranking process through incorporation of Back Propagation neural networks. [2][3][4]
引用
收藏
页码：77 / 81
页数：5
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