%0 Journal Article %1 tint2014usage %A Tint, San San %D 2014 %J Computer Applications: An International Journal (CAIJ), %K computer %N 2 %P 1-11 %T USAGE OF SIMILARITY METHODS AND CLUSTERING METHODS FOR WEB PAGES CLUSTERING %U http://airccse.com/caij/index.html %V 1 %X We have been studying different kinds of papers about web pages clustering techniques with many algorithms. Almost papers published in the Web are used popular algorithms. Among them similarity methods and clustering methods are very popular algorithms for extraction data in the Web. We use some methods to summarize by means of well known those methods. Some papers are applied to different methods. It is motivated to collect and summarize what are differences between them. This paper presents a comprehensive analysis of different methods and intends to be more recognized those methods. Most of sections are well composed for detail explanations about papers studied as a list of numbers and a table. Today web pages are saturated on the Internet. Content of web pages are extracted from cluster of web page using related methods. Clustering systems are useful to extract knowledge. The results obtained show that the status of using similarity and clustering method provides the best results for people who study about web.

@article{tint2014usage, abstract = {We have been studying different kinds of papers about web pages clustering techniques with many algorithms. Almost papers published in the Web are used popular algorithms. Among them similarity methods and clustering methods are very popular algorithms for extraction data in the Web. We use some methods to summarize by means of well known those methods. Some papers are applied to different methods. It is motivated to collect and summarize what are differences between them. This paper presents a comprehensive analysis of different methods and intends to be more recognized those methods. Most of sections are well composed for detail explanations about papers studied as a list of numbers and a table. Today web pages are saturated on the Internet. Content of web pages are extracted from cluster of web page using related methods. Clustering systems are useful to extract knowledge. The results obtained show that the status of using similarity and clustering method provides the best results for people who study about web. }, added-at = {2018-02-16T05:29:00.000+0100}, author = {Tint, San San}, biburl = {https://www.bibsonomy.org/bibtex/22aafe06ab597c6dc8ea9284d4c348ada/caij}, interhash = {d1b2abf478d8721bd10b66991970c87e}, intrahash = {2aafe06ab597c6dc8ea9284d4c348ada}, journal = {Computer Applications: An International Journal (CAIJ),}, keywords = {computer}, month = {2014/11}, number = 2, pages = {1-11}, timestamp = {2018-02-16T05:29:00.000+0100}, title = {USAGE OF SIMILARITY METHODS AND CLUSTERING METHODS FOR WEB PAGES CLUSTERING}, url = {http://airccse.com/caij/index.html}, volume = 1, year = 2014 }