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Scalable Framework for Locating Deep Web Entry Points · Peerford

Article · Journal · 2017

Scalable Framework for Locating Deep Web Entry Points

John O. ONIHUNWA, Olufade F. W. Onifade, Isaac B. Ariyo, Stephen Kayode Omotugba, Deji Joshua

IOSR Journal of Computer Engineering

Open access · Bronze

Read it 10.9790/0661-1902034555

Citations: 2from other works
Field-weighted impact: 0.641.00 is the world average for its field and year
Among its field: 77th percentileby citations, against works of its field and year
Authors: 5from 2 institutions

Authors

5 authors across 2 institutions in 1 country

John O. ONIHUNWAFirst author
- Federal College of Wildlife Management (NG)
as printed: John Onihunwa
Olufade F. W. Onifade
- University of Ibadan (NG)
as printed: Olufade Onifade
Isaac B. Ariyo
as printed: Isaac Ariyo
Stephen Kayode Omotugba
- Federal College of Wildlife Management (NG)
as printed: Stephen Omotugba
Deji JoshuaSenior author
- Federal College of Wildlife Management (NG)

Countries on it

Niger
Nigeria

Fields

A work can sit in several, each with a score

Web Data Mining and AnalysisTopic
Peer-to-Peer Network TechnologiesTopic
Caching and Content DeliveryTopic