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The proposed system trains the Faster R-CNN model for detection of product in the web page using bounding box image detection technique and extracts product details with high extraction accuracy. Deep learning technique has advanced rapidly in the different fields for image detection, but its application in data extraction makes this paper unique. An ecommerce retail website is used as real-world example to prove the self-healing capability of the proposed automated web data extraction system. <\/jats:p>","DOI":"10.1142\/s0219649222500290","type":"journal-article","created":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T15:32:50Z","timestamp":1651246370000},"source":"Crossref","is-referenced-by-count":3,"title":["Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems"],"prefix":"10.1142","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6069-1091","authenticated-orcid":false,"given":"Sudhir Kumar","family":"Patnaik","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, M.S. 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