Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparison of 2 Step Classification with 3-Class Classification for Webpage Classification Subject The topic of the resource 2 step classification; multiclass classifier; precision; recall Description An account of the resource The content over internet increasing significantly each year and the web page classification is an essential areas of work upon for web-based information management, content retrieval, data scrapping, content filtering, advertisement removal, contextual advertising, expanding web directories etc. Multiclass classification methods is more popular and commonly use to classify web pages, and 2 step classification is our proposed system. In 2 step classifier, we use 2 primary model which works serially and perform binary classification at each level. The primary source of dataset contain thousands of URL(Uniform Resource Locator) of web pages. The content on webpage is extracted and stored on system to avoid the loss of data sue to the change in URL. The comparison between the two methods validated the system improvement and improved in different metric such as precision and recall using 2 step classification technique. 2 step classification technique is faster while training and also shows performance improvement. There proposed system shows improvement in the performance of the results but not something significant. 2022 IEEE. Creator An entity primarily responsible for making the resource Losel T.; Kim Y.-W. Source A related resource from which the described resource is derived International Conference on ICT Convergence, Vol-2022-October, pp. 654-657. Publisher An entity responsible for making the resource available IEEE Computer Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTC55196.2022.9952595" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTC55196.2022.9952595</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143257031&amp;doi=10.1109%2FICTC55196.2022.9952595&amp;partnerID=40&amp;md5=1200b3feb45c66d3ff3c0ac995774525" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143257031&amp;doi=10.1109%2fICTC55196.2022.9952595&amp;partnerID=40&amp;md5=1200b3feb45c66d3ff3c0ac995774525</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21621233; ISBN: 978-166549939-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Losel T., WIZnet India PVT. Ltd, Artificial Intelligence Team, Bangalore, India; Kim Y.-W., Centre for Digital Innovation, CHRIST(Deemed to Be University), Bangalore, India