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- W2290163979 abstract "The information over the internet is growing at rapid rate, so web data extraction systems are required to extract the required information. One such technique is web wrapper, which is a supervised learning approach in which a template (program) is developed by the programmer to extract some specific data. This research paper provides a web wrapper known as Relational Web Wrapper which extracts related information of the webpage. Finally the performance evaluation of this web wrapper on the basis of time to extract the data and accuracy provided are shown in results. The results shows this web wrapper provides efficient results." @default.
- W2290163979 created "2016-06-24" @default.
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- W2290163979 date "2015-07-22" @default.
- W2290163979 modified "2023-09-23" @default.
- W2290163979 title "Relational Web Wrapper: A Web Data Extraction Approach" @default.
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- W2290163979 doi "https://doi.org/10.6084/m9.figshare.1490929.v1" @default.
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