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- W2312314299 abstract "Current Day scenario most of the applications moved on to web to enable any where computing. Mining approaches are proved as the best to extract knowledge. Organizations have to use various mining techniques to extract useful information. This information will help in day-to-day business functionality of organization. We can say web mining as the applications of the general data mining techniques to the Web. However, the internal properties of the Web force us to modify and extend the traditional techniques considerably. In this paper we are proposing an Approach to hybridize web content and web structure mining to improve the performance of web mining. Keywords: Web mining, Content mining, Structure mining" @default.
- W2312314299 created "2016-06-24" @default.
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- W2312314299 date "2014-01-01" @default.
- W2312314299 modified "2023-09-28" @default.
- W2312314299 title "Hybridization of Web Content and Structure Mining (HWCSM) Technique by means of Content Based Ranking Algorithm" @default.
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- W2312314299 doi "https://doi.org/10.9790/0661-1628134137" @default.
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