Web Page Information Extraction System by Using Deep Learning

Basit Öğe Kaydı
dc.contributor.authorPakyurek, Muhammet
dc.contributor.authorSezgin, Mehmet Selman
dc.contributor.authorKulac, Selman
dc.date.accessioned2021-12-01T18:47:41Z
dc.date.available2021-12-01T18:47:41Z
dc.date.issued2019
dc.department[Belirlenecek]en_US
dc.description4th International Conference on Computer Science and Engineering (UBMK) -- SEP 11-15, 2019 -- Samsun, TURKEYen_US
dc.description.abstractIn many companies, business units that aim to online sell, need every type of referential data about the market. In order to collect this data which can be group of price, content, survey etc. with a predefined format, websites which sell similar products can be used. The methods used in the data collection process are generally categorized by 3 main groups: 1 Manual 2-Half Manual 3-Auto. Statically coded data collectors (type 1 and type 2) are unable to collect healthy data in the long term and require continuous development and maintenance effort, as Internet pages are dynamic and changes would happen frequently in their page designs. In this study, a data scraping application (type 3) which is not affected by structural changes in web pages was developed. This study aims to obtain data from images of web pages using Deep CNNs.en_US
dc.description.sponsorshipIEEE, IEEE Turkey Secten_US
dc.identifier.endpage365en_US
dc.identifier.isbn978-1-7281-3964-7
dc.identifier.scopus2-s2.0-85076213251en_US
dc.identifier.startpage361en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10349
dc.identifier.wosWOS:000609879900068en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 4Th International Conference On Computer Science And Engineering (Ubmk)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Scrapingen_US
dc.subjectImage Processingen_US
dc.subjectDeep Learningen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectBrowsingen_US
dc.subjectHotel Priceen_US
dc.titleWeb Page Information Extraction System by Using Deep Learningen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
10349.pdf
Boyut:
1.79 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu