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dc.contributor.authorVaishnav, Pratiksha-
dc.contributor.authorKalariya, Ankit-
dc.date.accessioned2023-05-16T03:39:18Z-
dc.date.available2023-05-16T03:39:18Z-
dc.date.issued2021-06-
dc.identifier.citationVaishnav, P. ,kalariya, A.(2021).Web Page Categorization using RNN Based on URL. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 6(1), 773-778. SSN (Online) 2581-9429.DOI: 10.48175/568en_US
dc.identifier.issn2581-9429-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/955-
dc.description.abstractIn this paper, Web page classification is an information retrieval application that provides useful information that can be a basis for many different application domains. Nowadays, the number of web pages on the World Wide Web has been increasing due to the popularity of the Internet usage. The web page classification is needed in order to organize the increasing number of web pages. There are many web page classification techniques that have been proposed by the other researchers. This research is going to simplify this problem through applying web mining techniques. Web page classification, also known as a web page categorization, to classify web pages categories based on URLen_US
dc.language.isoenen_US
dc.publisherInternational Journal of Advanced Research in Science, Communication and Technology (IJARSCT)en_US
dc.subjectWeb Classificationen_US
dc.subjectWeb Miningen_US
dc.subjectClassification algorithmsen_US
dc.subjectRNNen_US
dc.titleWeb Page Categorization using RNN Based on URLen_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

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