A deep web data extraction model for web mining: a review

نویسندگان

چکیده

The World Wide Web has become a large pool of information. Extracting structured data from published web pages drawn attention in the last decade. process extraction (WDE) many challenges, dueto variety and unstructured hypertext mark up language (HTML) files. aim this paper is to provide comprehensive overview current techniques, termsof extracted quality data. This focuses on study for using wrapper approaches compares each other identify best approach extract online sites. To observe efficiency proposed model, we compare performance by single page with different models such as document object model (DOM), hybrid dom json (WHDJ), image DOM JSON (WEIDJ) WEIDJ (no-rules). Finally, experimentations proved that can fastest low time consuming compared method.<br /><div> </div>

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2021

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v23.i1.pp519-528