Abstract: This paper is concerned with enhancement in top k list in which top k pages are extracted from the web pages. In today’s fast world everybody needs quick and accurate results. In this paper, the main focus is on the results required by the user when he tries to search some contents on the web. Web contains very large amount of data and large data is available in Top-k web pages. The information in top-k lists is larger, richer and of higher quality. This system is capable of handling all web pages including structured, non-structured or semi-structured. This system provides more accuracy and has less time complexity than previous system. This system also supports Dynamic Web system which is a web application which is useful for the online forums which provide information about given area.
Keywords: web information extraction, top-k list, web mining and dynamic web.
Title: Enrichment in Extraction of Top-K List
Author: Kalyani Sonawane, Nayan Sonawane, Vedika Suryawanshi, Dhwanit Vibhandik
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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