Add to ORKGThis project develops an automatic categorization system for web pages using a Na?ve Bayes text classifier and the system is applied to Nanyang Technological University’s web sites. The university web pages are categorized under these categories: Admission, Alumni, Graduate_Studies, Undergrad_Studies, Research, Staff and Others.Master of Science (Information Studies
Key Words: meta-tag, automatic classification, web page classification, weka naive bayes Recently, t...
Automated Text categorization and class prediction is important for text categorization to reduce th...
Automatic categorization is a viable method to deal with the scaling problem on the World Wide Web. ...
Web page classification is significantly different from traditional text classification because of t...
In the new age era, there is tons of information published on the web every day. Thus, it will take ...
Pekanbaru City have 57 universities consisting of national universities and private universities. Of...
The web is a huge repository of information and there is a need for categorizing web documents to fa...
In this thesis we have presented a solution to classify websites into geographical attribute code (N...
World Wide Web has become a huge collection of documents and the amount of documents available is i...
Investigate the effectiveness of using SVM and decision tree inductions to categorize Web pages into...
peer-reviewedWith the significant growth in available electronic education materials such as syllabu...
A great challenge of web mining arises from the increasingly large web pages and the high dimensiona...
This paper presents problem of automatic webpages classification using association rules based class...
Most of the research on text categorization has focused on classifying text documents into a set of ...
As the volume of information available on the internet and corporate intranet continues to increase,...
Key Words: meta-tag, automatic classification, web page classification, weka naive bayes Recently, t...
Automated Text categorization and class prediction is important for text categorization to reduce th...
Automatic categorization is a viable method to deal with the scaling problem on the World Wide Web. ...
Web page classification is significantly different from traditional text classification because of t...
In the new age era, there is tons of information published on the web every day. Thus, it will take ...
Pekanbaru City have 57 universities consisting of national universities and private universities. Of...
The web is a huge repository of information and there is a need for categorizing web documents to fa...
In this thesis we have presented a solution to classify websites into geographical attribute code (N...
World Wide Web has become a huge collection of documents and the amount of documents available is i...
Investigate the effectiveness of using SVM and decision tree inductions to categorize Web pages into...
peer-reviewedWith the significant growth in available electronic education materials such as syllabu...
A great challenge of web mining arises from the increasingly large web pages and the high dimensiona...
This paper presents problem of automatic webpages classification using association rules based class...
Most of the research on text categorization has focused on classifying text documents into a set of ...
As the volume of information available on the internet and corporate intranet continues to increase,...
Key Words: meta-tag, automatic classification, web page classification, weka naive bayes Recently, t...
Automated Text categorization and class prediction is important for text categorization to reduce th...
Automatic categorization is a viable method to deal with the scaling problem on the World Wide Web. ...