期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1
页码：336-339
语种：English
出版社：Ayushmaan Technologies
摘要：The internet web pages having lot of rising amount of contentaccessible, a useful method for users to determine the positivemessage from the needless information is immediately essential.A Cleanout web page for web data mining becomes important forcivilizing presentation of information recovery and informationremoval. So, we study to remove different noise model in differentweb pages in its place of removing important message from webpages to receive major content message. In this research work,we propose concept to decide multiple noise model and removenoise data model from web pages of any web sites. The differentweb pages are frst constructing DOM Tree. Our approach isbased on fnding noise in current web page and also web noisesimilarity by using basic Case-Based Reasoning (CBR) approach.We also apply a back transmission neural network algorithm tocategorize the stored various noise model by corresponding noisedata in current web page. We have implemented of our approachon many commercial web sites and news web sites to checkingthe presentation and development of our concept. This researchpaper show on the experimental result leads to more perfect andsuccess of the approach.
